Using FINAL_20112012_ultrametric.nex

gamma.rate.resid:     1 
gamma.shape.resid:    1 
gamma.rate.species:   1 
gamma.shape.species:  1 
beta.par:             6 
max.r:                0.5 

Inference for Bugs model at "traits-environment-with-phylo.txt", fit using jags,
 5 chains, each with 25000 iterations (first 5000 discarded), n.thin = 25
 n.sims = 4000 iterations saved
                    mu.vect sd.vect     2.5%      25%      50%      75%    97.5%  Rhat n.eff
Sigma.resid[1,1]      0.391   0.024    0.347    0.375    0.390    0.407    0.442 1.003  1300
Sigma.resid[2,1]      0.039   0.019    0.000    0.026    0.039    0.052    0.075 1.001  4000
Sigma.resid[3,1]      0.016   0.009   -0.001    0.010    0.016    0.021    0.033 1.002  2500
Sigma.resid[4,1]     -0.137   0.016   -0.167   -0.148   -0.137   -0.126   -0.107 1.002  2000
Sigma.resid[1,2]      0.039   0.019    0.000    0.026    0.039    0.052    0.075 1.001  4000
Sigma.resid[2,2]      0.547   0.034    0.484    0.524    0.546    0.569    0.618 1.001  3800
Sigma.resid[3,2]      0.011   0.010   -0.009    0.004    0.011    0.018    0.031 1.002  2200
Sigma.resid[4,2]      0.008   0.019   -0.030   -0.005    0.008    0.022    0.047 1.001  4000
Sigma.resid[1,3]      0.016   0.009   -0.001    0.010    0.016    0.021    0.033 1.002  2500
Sigma.resid[2,3]      0.011   0.010   -0.009    0.004    0.011    0.018    0.031 1.002  2200
Sigma.resid[3,3]      0.107   0.007    0.095    0.103    0.107    0.112    0.122 1.001  4000
Sigma.resid[4,3]     -0.002   0.009   -0.019   -0.008   -0.002    0.003    0.015 1.001  4000
Sigma.resid[1,4]     -0.137   0.016   -0.167   -0.148   -0.137   -0.126   -0.107 1.002  2000
Sigma.resid[2,4]      0.008   0.019   -0.030   -0.005    0.008    0.022    0.047 1.001  4000
Sigma.resid[3,4]     -0.002   0.009   -0.019   -0.008   -0.002    0.003    0.015 1.001  4000
Sigma.resid[4,4]      0.407   0.025    0.360    0.390    0.406    0.424    0.458 1.001  4000
Sigma.species[1,1]   30.527   8.015   17.231   24.890   29.677   35.040   48.841 1.001  3000
Sigma.species[2,1]   -1.247   2.580   -6.437   -2.945   -1.225    0.476    3.704 1.002  1800
Sigma.species[3,1]    6.064   4.415   -2.587    3.160    6.094    8.972   14.904 1.001  4000
Sigma.species[4,1]   -4.845   5.355  -15.102   -8.286   -4.857   -1.363    5.691 1.002  2500
Sigma.species[1,2]   -1.247   2.580   -6.437   -2.945   -1.225    0.476    3.704 1.002  1800
Sigma.species[2,2]   16.087   5.120    8.233   12.422   15.471   18.875   28.186 1.001  3400
Sigma.species[3,2]    1.745   3.628   -5.619   -0.610    1.725    4.069    8.909 1.001  4000
Sigma.species[4,2]   -4.955   3.974  -13.025   -7.538   -4.929   -2.316    2.646 1.001  4000
Sigma.species[1,3]    6.064   4.415   -2.587    3.160    6.094    8.972   14.904 1.001  4000
Sigma.species[2,3]    1.745   3.628   -5.619   -0.610    1.725    4.069    8.909 1.001  4000
Sigma.species[3,3]   64.886  12.571   44.339   55.876   63.435   72.134   93.859 1.000  4000
Sigma.species[4,3]    6.252   7.096   -7.196    1.450    6.117   10.908   20.261 1.001  3200
Sigma.species[1,4]   -4.845   5.355  -15.102   -8.286   -4.857   -1.363    5.691 1.002  2500
Sigma.species[2,4]   -4.955   3.974  -13.025   -7.538   -4.929   -2.316    2.646 1.001  4000
Sigma.species[3,4]    6.252   7.096   -7.196    1.450    6.117   10.908   20.261 1.001  3200
Sigma.species[4,4]   81.143  17.447   52.937   68.964   79.081   91.055  120.562 1.001  4000
beta.cdd[1]          -0.046   0.067   -0.180   -0.092   -0.046    0.000    0.085 1.001  3700
beta.cdd[2]           0.346   0.074    0.200    0.296    0.346    0.397    0.487 1.001  4000
beta.cdd[3]          -0.099   0.039   -0.175   -0.125   -0.098   -0.073   -0.020 1.001  3600
beta.cdd[4]          -0.020   0.073   -0.161   -0.069   -0.022    0.029    0.124 1.001  3100
beta.elev[1]          0.000   0.089   -0.175   -0.059   -0.001    0.059    0.172 1.002  2000
beta.elev[2]         -0.190   0.091   -0.378   -0.247   -0.187   -0.129   -0.013 1.000  4000
beta.elev[3]         -0.027   0.052   -0.130   -0.061   -0.028    0.007    0.074 1.003  1100
beta.elev[4]         -0.035   0.095   -0.224   -0.099   -0.037    0.028    0.151 1.001  4000
beta.inso[1]          0.166   0.050    0.068    0.132    0.166    0.200    0.263 1.001  4000
beta.inso[2]         -0.096   0.054   -0.204   -0.131   -0.096   -0.060    0.009 1.001  4000
beta.inso[3]          0.023   0.028   -0.031    0.004    0.023    0.041    0.079 1.001  4000
beta.inso[4]         -0.119   0.053   -0.225   -0.155   -0.119   -0.082   -0.014 1.001  4000
beta.map[1]          -0.490   0.078   -0.645   -0.541   -0.489   -0.437   -0.335 1.002  2200
beta.map[2]          -0.062   0.084   -0.231   -0.119   -0.060   -0.007    0.101 1.001  4000
beta.map[3]          -0.091   0.045   -0.179   -0.122   -0.092   -0.061   -0.001 1.000  4000
beta.map[4]           0.203   0.085    0.039    0.145    0.202    0.259    0.372 1.002  2000
beta.mat[1]          -0.376   0.061   -0.496   -0.417   -0.377   -0.335   -0.254 1.001  4000
beta.mat[2]          -0.254   0.065   -0.383   -0.296   -0.254   -0.210   -0.125 1.001  3000
beta.mat[3]          -0.054   0.034   -0.123   -0.077   -0.054   -0.030    0.014 1.002  1800
beta.mat[4]           0.258   0.065    0.127    0.214    0.258    0.301    0.382 1.001  4000
beta.ratio[1]         0.251   0.066    0.124    0.207    0.251    0.295    0.382 1.002  1900
beta.ratio[2]         0.147   0.071    0.011    0.099    0.147    0.194    0.287 1.001  4000
beta.ratio[3]         0.045   0.039   -0.030    0.018    0.044    0.071    0.121 1.001  3200
beta.ratio[4]        -0.073   0.073   -0.212   -0.123   -0.074   -0.025    0.070 1.001  4000
mu[1,1]               0.700   0.150    0.410    0.596    0.700    0.801    0.989 1.003   970
mu[2,1]               0.700   0.150    0.410    0.596    0.700    0.801    0.989 1.003   970
mu[3,1]               0.700   0.150    0.410    0.596    0.700    0.801    0.989 1.003   970
mu[4,1]               0.700   0.150    0.410    0.596    0.700    0.801    0.989 1.003   970
mu[5,1]               0.700   0.150    0.410    0.596    0.700    0.801    0.989 1.003   970
mu[6,1]               0.700   0.150    0.410    0.596    0.700    0.801    0.989 1.003   970
mu[7,1]               0.700   0.150    0.410    0.596    0.700    0.801    0.989 1.003   970
mu[8,1]               0.700   0.150    0.410    0.596    0.700    0.801    0.989 1.003   970
mu[9,1]               0.469   0.214    0.058    0.324    0.468    0.612    0.893 1.002  2500
mu[10,1]              0.469   0.214    0.058    0.324    0.468    0.612    0.893 1.002  2500
mu[11,1]              0.469   0.214    0.058    0.324    0.468    0.612    0.893 1.002  2500
mu[12,1]              0.469   0.214    0.058    0.324    0.468    0.612    0.893 1.002  2500
mu[13,1]              0.469   0.214    0.058    0.324    0.468    0.612    0.893 1.002  2500
mu[14,1]              0.469   0.214    0.058    0.324    0.468    0.612    0.893 1.002  2500
mu[15,1]              0.469   0.214    0.058    0.324    0.468    0.612    0.893 1.002  2500
mu[16,1]              0.469   0.214    0.058    0.324    0.468    0.612    0.893 1.002  2500
mu[17,1]              1.718   0.168    1.388    1.606    1.718    1.832    2.044 1.002  1800
mu[18,1]              1.718   0.168    1.388    1.606    1.718    1.832    2.044 1.002  1800
mu[19,1]              1.718   0.168    1.388    1.606    1.718    1.832    2.044 1.002  1800
mu[20,1]              1.718   0.168    1.388    1.606    1.718    1.832    2.044 1.002  1800
mu[21,1]              1.718   0.168    1.388    1.606    1.718    1.832    2.044 1.002  1800
mu[22,1]              1.718   0.168    1.388    1.606    1.718    1.832    2.044 1.002  1800
mu[23,1]              1.718   0.168    1.388    1.606    1.718    1.832    2.044 1.002  1800
mu[24,1]              0.153   0.166   -0.173    0.041    0.150    0.267    0.487 1.001  3100
mu[25,1]              0.153   0.166   -0.173    0.041    0.150    0.267    0.487 1.001  3100
mu[26,1]              0.153   0.166   -0.173    0.041    0.150    0.267    0.487 1.001  3100
mu[27,1]              0.153   0.166   -0.173    0.041    0.150    0.267    0.487 1.001  3100
mu[28,1]              0.153   0.166   -0.173    0.041    0.150    0.267    0.487 1.001  3100
mu[29,1]              0.153   0.166   -0.173    0.041    0.150    0.267    0.487 1.001  3100
mu[30,1]              0.153   0.166   -0.173    0.041    0.150    0.267    0.487 1.001  3100
mu[31,1]              0.153   0.166   -0.173    0.041    0.150    0.267    0.487 1.001  3100
mu[32,1]             -0.993   0.253   -1.476   -1.169   -0.992   -0.822   -0.487 1.001  4000
mu[33,1]             -0.235   0.235   -0.680   -0.399   -0.233   -0.077    0.221 1.001  3400
mu[34,1]             -1.212   0.210   -1.628   -1.355   -1.210   -1.073   -0.798 1.001  4000
mu[35,1]             -0.993   0.253   -1.476   -1.169   -0.992   -0.822   -0.487 1.001  4000
mu[36,1]             -1.212   0.210   -1.628   -1.355   -1.210   -1.073   -0.798 1.001  4000
mu[37,1]             -0.235   0.235   -0.680   -0.399   -0.233   -0.077    0.221 1.001  3400
mu[38,1]             -0.993   0.253   -1.476   -1.169   -0.992   -0.822   -0.487 1.001  4000
mu[39,1]             -0.993   0.253   -1.476   -1.169   -0.992   -0.822   -0.487 1.001  4000
mu[40,1]             -1.212   0.210   -1.628   -1.355   -1.210   -1.073   -0.798 1.001  4000
mu[41,1]             -0.235   0.235   -0.680   -0.399   -0.233   -0.077    0.221 1.001  3400
mu[42,1]             -0.235   0.235   -0.680   -0.399   -0.233   -0.077    0.221 1.001  3400
mu[43,1]             -0.235   0.235   -0.680   -0.399   -0.233   -0.077    0.221 1.001  3400
mu[44,1]             -1.212   0.210   -1.628   -1.355   -1.210   -1.073   -0.798 1.001  4000
mu[45,1]             -1.212   0.210   -1.628   -1.355   -1.210   -1.073   -0.798 1.001  4000
mu[46,1]             -0.993   0.253   -1.476   -1.169   -0.992   -0.822   -0.487 1.001  4000
mu[47,1]             -1.212   0.210   -1.628   -1.355   -1.210   -1.073   -0.798 1.001  4000
mu[48,1]             -1.212   0.210   -1.628   -1.355   -1.210   -1.073   -0.798 1.001  4000
mu[49,1]             -0.235   0.235   -0.680   -0.399   -0.233   -0.077    0.221 1.001  3400
mu[50,1]             -1.212   0.210   -1.628   -1.355   -1.210   -1.073   -0.798 1.001  4000
mu[51,1]              0.321   0.191   -0.043    0.189    0.319    0.448    0.691 1.001  4000
mu[52,1]              0.321   0.176   -0.018    0.201    0.319    0.435    0.675 1.001  3200
mu[53,1]              0.321   0.176   -0.018    0.201    0.319    0.435    0.675 1.001  3200
mu[54,1]              0.321   0.176   -0.018    0.201    0.319    0.435    0.675 1.001  3200
mu[55,1]              0.321   0.176   -0.018    0.201    0.319    0.435    0.675 1.001  3200
mu[56,1]              0.321   0.191   -0.043    0.189    0.319    0.448    0.691 1.001  4000
mu[57,1]              0.321   0.176   -0.018    0.201    0.319    0.435    0.675 1.001  3200
mu[58,1]              0.321   0.191   -0.043    0.189    0.319    0.448    0.691 1.001  4000
mu[59,1]              0.321   0.191   -0.043    0.189    0.319    0.448    0.691 1.001  4000
mu[60,1]              0.321   0.176   -0.018    0.201    0.319    0.435    0.675 1.001  3200
mu[61,1]              0.321   0.191   -0.043    0.189    0.319    0.448    0.691 1.001  4000
mu[62,1]              0.321   0.191   -0.043    0.189    0.319    0.448    0.691 1.001  4000
mu[63,1]              0.321   0.176   -0.018    0.201    0.319    0.435    0.675 1.001  3200
mu[64,1]              0.321   0.176   -0.018    0.201    0.319    0.435    0.675 1.001  3200
mu[65,1]              1.075   0.216    0.670    0.928    1.073    1.216    1.516 1.001  4000
mu[66,1]              1.075   0.216    0.670    0.928    1.073    1.216    1.516 1.001  4000
mu[67,1]              1.075   0.216    0.670    0.928    1.073    1.216    1.516 1.001  4000
mu[68,1]              0.063   0.212   -0.351   -0.080    0.066    0.207    0.478 1.001  3200
mu[69,1]              0.063   0.212   -0.351   -0.080    0.066    0.207    0.478 1.001  3200
mu[70,1]              1.075   0.216    0.670    0.928    1.073    1.216    1.516 1.001  4000
mu[71,1]              0.063   0.212   -0.351   -0.080    0.066    0.207    0.478 1.001  3200
mu[72,1]              1.075   0.216    0.670    0.928    1.073    1.216    1.516 1.001  4000
mu[73,1]              1.075   0.216    0.670    0.928    1.073    1.216    1.516 1.001  4000
mu[74,1]              0.063   0.212   -0.351   -0.080    0.066    0.207    0.478 1.001  3200
mu[75,1]              0.063   0.212   -0.351   -0.080    0.066    0.207    0.478 1.001  3200
mu[76,1]              0.063   0.212   -0.351   -0.080    0.066    0.207    0.478 1.001  3200
mu[77,1]              0.063   0.212   -0.351   -0.080    0.066    0.207    0.478 1.001  3200
mu[78,1]              0.063   0.212   -0.351   -0.080    0.066    0.207    0.478 1.001  3200
mu[79,1]              1.075   0.216    0.670    0.928    1.073    1.216    1.516 1.001  4000
mu[80,1]             -0.263   0.208   -0.676   -0.401   -0.258   -0.127    0.140 1.000  4000
mu[81,1]             -0.263   0.208   -0.676   -0.401   -0.258   -0.127    0.140 1.000  4000
mu[82,1]             -0.263   0.208   -0.676   -0.401   -0.258   -0.127    0.140 1.000  4000
mu[83,1]             -0.263   0.208   -0.676   -0.401   -0.258   -0.127    0.140 1.000  4000
mu[84,1]             -0.263   0.208   -0.676   -0.401   -0.258   -0.127    0.140 1.000  4000
mu[85,1]             -0.263   0.208   -0.676   -0.401   -0.258   -0.127    0.140 1.000  4000
mu[86,1]             -0.263   0.208   -0.676   -0.401   -0.258   -0.127    0.140 1.000  4000
mu[87,1]             -0.263   0.208   -0.676   -0.401   -0.258   -0.127    0.140 1.000  4000
mu[88,1]              1.538   0.165    1.216    1.428    1.537    1.654    1.848 1.001  4000
mu[89,1]              1.538   0.165    1.216    1.428    1.537    1.654    1.848 1.001  4000
mu[90,1]              1.538   0.165    1.216    1.428    1.537    1.654    1.848 1.001  4000
mu[91,1]              1.538   0.165    1.216    1.428    1.537    1.654    1.848 1.001  4000
mu[92,1]              1.538   0.165    1.216    1.428    1.537    1.654    1.848 1.001  4000
mu[93,1]              1.538   0.165    1.216    1.428    1.537    1.654    1.848 1.001  4000
mu[94,1]              1.538   0.165    1.216    1.428    1.537    1.654    1.848 1.001  4000
mu[95,1]              1.538   0.165    1.216    1.428    1.537    1.654    1.848 1.001  4000
mu[96,1]             -0.768   0.214   -1.198   -0.913   -0.769   -0.620   -0.360 1.001  3700
mu[97,1]             -0.768   0.214   -1.198   -0.913   -0.769   -0.620   -0.360 1.001  3700
mu[98,1]             -0.768   0.214   -1.198   -0.913   -0.769   -0.620   -0.360 1.001  3700
mu[99,1]             -0.768   0.214   -1.198   -0.913   -0.769   -0.620   -0.360 1.001  3700
mu[100,1]            -0.768   0.214   -1.198   -0.913   -0.769   -0.620   -0.360 1.001  3700
mu[101,1]            -0.768   0.214   -1.198   -0.913   -0.769   -0.620   -0.360 1.001  3700
mu[102,1]            -0.768   0.214   -1.198   -0.913   -0.769   -0.620   -0.360 1.001  3700
mu[103,1]            -0.768   0.214   -1.198   -0.913   -0.769   -0.620   -0.360 1.001  3700
mu[104,1]             0.507   0.157    0.198    0.399    0.505    0.616    0.815 1.001  4000
mu[105,1]             0.507   0.157    0.198    0.399    0.505    0.616    0.815 1.001  4000
mu[106,1]             0.507   0.157    0.198    0.399    0.505    0.616    0.815 1.001  4000
mu[107,1]             0.507   0.157    0.198    0.399    0.505    0.616    0.815 1.001  4000
mu[108,1]             0.507   0.157    0.198    0.399    0.505    0.616    0.815 1.001  4000
mu[109,1]             0.507   0.157    0.198    0.399    0.505    0.616    0.815 1.001  4000
mu[110,1]             0.507   0.157    0.198    0.399    0.505    0.616    0.815 1.001  4000
mu[111,1]             0.507   0.157    0.198    0.399    0.505    0.616    0.815 1.001  4000
mu[112,1]            -0.646   0.149   -0.927   -0.744   -0.648   -0.545   -0.357 1.001  4000
mu[113,1]             0.777   0.139    0.508    0.681    0.776    0.870    1.046 1.002  1700
mu[114,1]             0.777   0.139    0.508    0.681    0.776    0.870    1.046 1.002  1700
mu[115,1]            -0.383   0.124   -0.633   -0.469   -0.382   -0.300   -0.141 1.002  2100
mu[116,1]             0.777   0.139    0.508    0.681    0.776    0.870    1.046 1.002  1700
mu[117,1]             0.777   0.139    0.508    0.681    0.776    0.870    1.046 1.002  1700
mu[118,1]            -0.383   0.124   -0.633   -0.469   -0.382   -0.300   -0.141 1.002  2100
mu[119,1]            -0.646   0.149   -0.927   -0.744   -0.648   -0.545   -0.357 1.001  4000
mu[120,1]             0.777   0.139    0.508    0.681    0.776    0.870    1.046 1.002  1700
mu[121,1]            -0.646   0.149   -0.927   -0.744   -0.648   -0.545   -0.357 1.001  4000
mu[122,1]            -0.383   0.124   -0.633   -0.469   -0.382   -0.300   -0.141 1.002  2100
mu[123,1]            -0.646   0.149   -0.927   -0.744   -0.648   -0.545   -0.357 1.001  4000
mu[124,1]            -0.383   0.124   -0.633   -0.469   -0.382   -0.300   -0.141 1.002  2100
mu[125,1]            -0.075   0.138   -0.345   -0.169   -0.078    0.017    0.193 1.002  2300
mu[126,1]            -0.383   0.124   -0.633   -0.469   -0.382   -0.300   -0.141 1.002  2100
mu[127,1]            -0.646   0.149   -0.927   -0.744   -0.648   -0.545   -0.357 1.001  4000
mu[128,1]             0.777   0.139    0.508    0.681    0.776    0.870    1.046 1.002  1700
mu[129,1]             0.712   0.121    0.478    0.631    0.712    0.793    0.949 1.001  4000
mu[130,1]             0.777   0.139    0.508    0.681    0.776    0.870    1.046 1.002  1700
mu[131,1]            -0.383   0.124   -0.633   -0.469   -0.382   -0.300   -0.141 1.002  2100
mu[132,1]            -0.646   0.149   -0.927   -0.744   -0.648   -0.545   -0.357 1.001  4000
mu[133,1]            -0.383   0.124   -0.633   -0.469   -0.382   -0.300   -0.141 1.002  2100
mu[134,1]            -0.646   0.149   -0.927   -0.744   -0.648   -0.545   -0.357 1.001  4000
mu[135,1]            -0.383   0.124   -0.633   -0.469   -0.382   -0.300   -0.141 1.002  2100
mu[136,1]             0.712   0.121    0.478    0.631    0.712    0.793    0.949 1.001  4000
mu[137,1]             0.712   0.121    0.478    0.631    0.712    0.793    0.949 1.001  4000
mu[138,1]            -0.646   0.149   -0.927   -0.744   -0.648   -0.545   -0.357 1.001  4000
mu[139,1]             0.777   0.139    0.508    0.681    0.776    0.870    1.046 1.002  1700
mu[140,1]             0.712   0.121    0.478    0.631    0.712    0.793    0.949 1.001  4000
mu[141,1]            -0.207   0.129   -0.456   -0.296   -0.211   -0.121    0.051 1.001  2700
mu[142,1]            -0.207   0.129   -0.456   -0.296   -0.211   -0.121    0.051 1.001  2700
mu[143,1]            -0.207   0.129   -0.456   -0.296   -0.211   -0.121    0.051 1.001  2700
mu[144,1]            -0.314   0.173   -0.664   -0.428   -0.313   -0.198    0.025 1.001  4000
mu[145,1]            -1.294   0.183   -1.639   -1.415   -1.295   -1.173   -0.933 1.001  3300
mu[146,1]            -0.047   0.134   -0.307   -0.135   -0.046    0.042    0.209 1.001  4000
mu[147,1]            -1.294   0.183   -1.639   -1.415   -1.295   -1.173   -0.933 1.001  3300
mu[148,1]            -0.047   0.134   -0.307   -0.135   -0.046    0.042    0.209 1.001  4000
mu[149,1]            -1.294   0.183   -1.639   -1.415   -1.295   -1.173   -0.933 1.001  3300
mu[150,1]            -0.047   0.134   -0.307   -0.135   -0.046    0.042    0.209 1.001  4000
mu[151,1]            -0.047   0.134   -0.307   -0.135   -0.046    0.042    0.209 1.001  4000
mu[152,1]             0.798   0.204    0.402    0.661    0.798    0.939    1.189 1.002  4000
mu[153,1]             0.798   0.204    0.402    0.661    0.798    0.939    1.189 1.002  4000
mu[154,1]             0.798   0.204    0.402    0.661    0.798    0.939    1.189 1.002  4000
mu[155,1]             0.798   0.204    0.402    0.661    0.798    0.939    1.189 1.002  4000
mu[156,1]             0.798   0.204    0.402    0.661    0.798    0.939    1.189 1.002  4000
mu[157,1]             0.798   0.204    0.402    0.661    0.798    0.939    1.189 1.002  4000
mu[158,1]             0.798   0.204    0.402    0.661    0.798    0.939    1.189 1.002  4000
mu[159,1]             0.798   0.204    0.402    0.661    0.798    0.939    1.189 1.002  4000
mu[160,1]            -0.808   0.197   -1.190   -0.941   -0.810   -0.675   -0.427 1.002  2400
mu[161,1]            -1.096   0.200   -1.494   -1.233   -1.095   -0.961   -0.707 1.001  4000
mu[162,1]             0.732   0.210    0.318    0.593    0.730    0.869    1.149 1.001  4000
mu[163,1]            -0.808   0.197   -1.190   -0.941   -0.810   -0.675   -0.427 1.002  2400
mu[164,1]            -1.096   0.200   -1.494   -1.233   -1.095   -0.961   -0.707 1.001  4000
mu[165,1]             0.589   0.143    0.314    0.490    0.593    0.684    0.868 1.001  4000
mu[166,1]            -0.808   0.197   -1.190   -0.941   -0.810   -0.675   -0.427 1.002  2400
mu[167,1]             0.732   0.210    0.318    0.593    0.730    0.869    1.149 1.001  4000
mu[168,1]            -1.096   0.200   -1.494   -1.233   -1.095   -0.961   -0.707 1.001  4000
mu[169,1]             0.589   0.143    0.314    0.490    0.593    0.684    0.868 1.001  4000
mu[170,1]             0.589   0.143    0.314    0.490    0.593    0.684    0.868 1.001  4000
mu[171,1]            -1.096   0.200   -1.494   -1.233   -1.095   -0.961   -0.707 1.001  4000
mu[172,1]            -1.096   0.200   -1.494   -1.233   -1.095   -0.961   -0.707 1.001  4000
mu[173,1]             0.589   0.143    0.314    0.490    0.593    0.684    0.868 1.001  4000
mu[174,1]             0.732   0.210    0.318    0.593    0.730    0.869    1.149 1.001  4000
mu[175,1]            -0.808   0.197   -1.190   -0.941   -0.810   -0.675   -0.427 1.002  2400
mu[176,1]             0.732   0.210    0.318    0.593    0.730    0.869    1.149 1.001  4000
mu[177,1]             0.589   0.143    0.314    0.490    0.593    0.684    0.868 1.001  4000
mu[178,1]             0.589   0.143    0.314    0.490    0.593    0.684    0.868 1.001  4000
mu[179,1]            -0.808   0.197   -1.190   -0.941   -0.810   -0.675   -0.427 1.002  2400
mu[180,1]             0.589   0.143    0.314    0.490    0.593    0.684    0.868 1.001  4000
mu[181,1]             0.589   0.143    0.314    0.490    0.593    0.684    0.868 1.001  4000
mu[182,1]             0.732   0.210    0.318    0.593    0.730    0.869    1.149 1.001  4000
mu[183,1]            -1.096   0.200   -1.494   -1.233   -1.095   -0.961   -0.707 1.001  4000
mu[184,1]             0.732   0.210    0.318    0.593    0.730    0.869    1.149 1.001  4000
mu[185,1]            -1.096   0.200   -1.494   -1.233   -1.095   -0.961   -0.707 1.001  4000
mu[186,1]             0.732   0.210    0.318    0.593    0.730    0.869    1.149 1.001  4000
mu[187,1]            -0.808   0.197   -1.190   -0.941   -0.810   -0.675   -0.427 1.002  2400
mu[188,1]             0.732   0.210    0.318    0.593    0.730    0.869    1.149 1.001  4000
mu[189,1]            -1.096   0.200   -1.494   -1.233   -1.095   -0.961   -0.707 1.001  4000
mu[190,1]             0.291   0.211   -0.119    0.152    0.293    0.431    0.694 1.001  4000
mu[191,1]             0.291   0.211   -0.119    0.152    0.293    0.431    0.694 1.001  4000
mu[192,1]             0.291   0.211   -0.119    0.152    0.293    0.431    0.694 1.001  4000
mu[193,1]             0.291   0.211   -0.119    0.152    0.293    0.431    0.694 1.001  4000
mu[194,1]             0.291   0.211   -0.119    0.152    0.293    0.431    0.694 1.001  4000
mu[195,1]             0.291   0.211   -0.119    0.152    0.293    0.431    0.694 1.001  4000
mu[196,1]             0.291   0.211   -0.119    0.152    0.293    0.431    0.694 1.001  4000
mu[197,1]             0.291   0.211   -0.119    0.152    0.293    0.431    0.694 1.001  4000
mu[198,1]             0.265   0.203   -0.131    0.127    0.264    0.405    0.660 1.000  4000
mu[199,1]             0.265   0.203   -0.131    0.127    0.264    0.405    0.660 1.000  4000
mu[200,1]             0.265   0.203   -0.131    0.127    0.264    0.405    0.660 1.000  4000
mu[201,1]             0.265   0.203   -0.131    0.127    0.264    0.405    0.660 1.000  4000
mu[202,1]             0.265   0.203   -0.131    0.127    0.264    0.405    0.660 1.000  4000
mu[203,1]             0.265   0.203   -0.131    0.127    0.264    0.405    0.660 1.000  4000
mu[204,1]             0.265   0.203   -0.131    0.127    0.264    0.405    0.660 1.000  4000
mu[205,1]             0.265   0.203   -0.131    0.127    0.264    0.405    0.660 1.000  4000
mu[206,1]            -0.354   0.125   -0.604   -0.440   -0.354   -0.271   -0.112 1.002  2200
mu[207,1]            -0.354   0.125   -0.604   -0.440   -0.354   -0.271   -0.112 1.002  2200
mu[208,1]             0.684   0.207    0.286    0.544    0.685    0.822    1.095 1.000  4000
mu[209,1]             0.684   0.207    0.286    0.544    0.685    0.822    1.095 1.000  4000
mu[210,1]             0.684   0.207    0.286    0.544    0.685    0.822    1.095 1.000  4000
mu[211,1]            -0.354   0.125   -0.604   -0.440   -0.354   -0.271   -0.112 1.002  2200
mu[212,1]            -0.354   0.125   -0.604   -0.440   -0.354   -0.271   -0.112 1.002  2200
mu[213,1]            -0.617   0.149   -0.896   -0.715   -0.618   -0.517   -0.327 1.001  4000
mu[214,1]             0.684   0.207    0.286    0.544    0.685    0.822    1.095 1.000  4000
mu[215,1]             0.684   0.207    0.286    0.544    0.685    0.822    1.095 1.000  4000
mu[216,1]            -0.354   0.125   -0.604   -0.440   -0.354   -0.271   -0.112 1.002  2200
mu[217,1]             0.741   0.121    0.504    0.660    0.742    0.821    0.979 1.001  4000
mu[218,1]             0.741   0.121    0.504    0.660    0.742    0.821    0.979 1.001  4000
mu[219,1]            -0.617   0.149   -0.896   -0.715   -0.618   -0.517   -0.327 1.001  4000
mu[220,1]             0.741   0.121    0.504    0.660    0.742    0.821    0.979 1.001  4000
mu[221,1]             0.741   0.121    0.504    0.660    0.742    0.821    0.979 1.001  4000
mu[222,1]             0.684   0.207    0.286    0.544    0.685    0.822    1.095 1.000  4000
mu[223,1]             0.684   0.207    0.286    0.544    0.685    0.822    1.095 1.000  4000
mu[224,1]            -0.617   0.149   -0.896   -0.715   -0.618   -0.517   -0.327 1.001  4000
mu[225,1]            -0.354   0.125   -0.604   -0.440   -0.354   -0.271   -0.112 1.002  2200
mu[226,1]            -0.617   0.149   -0.896   -0.715   -0.618   -0.517   -0.327 1.001  4000
mu[227,1]             0.741   0.121    0.504    0.660    0.742    0.821    0.979 1.001  4000
mu[228,1]            -0.617   0.149   -0.896   -0.715   -0.618   -0.517   -0.327 1.001  4000
mu[229,1]            -0.617   0.149   -0.896   -0.715   -0.618   -0.517   -0.327 1.001  4000
mu[230,1]            -0.617   0.149   -0.896   -0.715   -0.618   -0.517   -0.327 1.001  4000
mu[231,1]            -0.354   0.125   -0.604   -0.440   -0.354   -0.271   -0.112 1.002  2200
mu[232,1]             0.684   0.207    0.286    0.544    0.685    0.822    1.095 1.000  4000
mu[233,1]            -0.354   0.125   -0.604   -0.440   -0.354   -0.271   -0.112 1.002  2200
mu[234,1]             0.741   0.121    0.504    0.660    0.742    0.821    0.979 1.001  4000
mu[235,1]             0.741   0.121    0.504    0.660    0.742    0.821    0.979 1.001  4000
mu[236,1]            -0.617   0.149   -0.896   -0.715   -0.618   -0.517   -0.327 1.001  4000
mu[237,1]             0.741   0.121    0.504    0.660    0.742    0.821    0.979 1.001  4000
mu[238,1]            -0.875   0.167   -1.211   -0.985   -0.873   -0.764   -0.549 1.001  4000
mu[239,1]            -0.875   0.167   -1.211   -0.985   -0.873   -0.764   -0.549 1.001  4000
mu[240,1]            -0.875   0.167   -1.211   -0.985   -0.873   -0.764   -0.549 1.001  4000
mu[241,1]            -0.875   0.167   -1.211   -0.985   -0.873   -0.764   -0.549 1.001  4000
mu[242,1]            -0.875   0.167   -1.211   -0.985   -0.873   -0.764   -0.549 1.001  4000
mu[243,1]            -0.875   0.167   -1.211   -0.985   -0.873   -0.764   -0.549 1.001  4000
mu[244,1]            -0.875   0.167   -1.211   -0.985   -0.873   -0.764   -0.549 1.001  4000
mu[245,1]            -0.875   0.167   -1.211   -0.985   -0.873   -0.764   -0.549 1.001  4000
mu[246,1]            -0.324   0.119   -0.556   -0.406   -0.325   -0.242   -0.092 1.001  3100
mu[247,1]            -0.324   0.119   -0.556   -0.406   -0.325   -0.242   -0.092 1.001  3100
mu[248,1]            -0.324   0.119   -0.556   -0.406   -0.325   -0.242   -0.092 1.001  3100
mu[249,1]            -0.324   0.119   -0.556   -0.406   -0.325   -0.242   -0.092 1.001  3100
mu[250,1]            -0.324   0.119   -0.556   -0.406   -0.325   -0.242   -0.092 1.001  3100
mu[251,1]            -0.324   0.119   -0.556   -0.406   -0.325   -0.242   -0.092 1.001  3100
mu[252,1]            -0.324   0.119   -0.556   -0.406   -0.325   -0.242   -0.092 1.001  3100
mu[253,1]            -0.324   0.119   -0.556   -0.406   -0.325   -0.242   -0.092 1.001  3100
mu[254,1]            -0.079   0.133   -0.339   -0.165   -0.078    0.011    0.175 1.001  4000
mu[255,1]            -1.326   0.182   -1.674   -1.446   -1.327   -1.205   -0.967 1.001  3300
mu[256,1]            -1.326   0.182   -1.674   -1.446   -1.327   -1.205   -0.967 1.001  3300
mu[257,1]            -0.079   0.133   -0.339   -0.165   -0.078    0.011    0.175 1.001  4000
mu[258,1]            -0.079   0.133   -0.339   -0.165   -0.078    0.011    0.175 1.001  4000
mu[259,1]            -0.079   0.133   -0.339   -0.165   -0.078    0.011    0.175 1.001  4000
mu[260,1]            -0.079   0.133   -0.339   -0.165   -0.078    0.011    0.175 1.001  4000
mu[261,1]            -1.326   0.182   -1.674   -1.446   -1.327   -1.205   -0.967 1.001  3300
mu[262,1]            -1.326   0.182   -1.674   -1.446   -1.327   -1.205   -0.967 1.001  3300
mu[263,1]            -1.326   0.182   -1.674   -1.446   -1.327   -1.205   -0.967 1.001  3300
mu[264,1]            -1.326   0.182   -1.674   -1.446   -1.327   -1.205   -0.967 1.001  3300
mu[265,1]            -0.079   0.133   -0.339   -0.165   -0.078    0.011    0.175 1.001  4000
mu[266,1]            -1.326   0.182   -1.674   -1.446   -1.327   -1.205   -0.967 1.001  3300
mu[267,1]            -0.079   0.133   -0.339   -0.165   -0.078    0.011    0.175 1.001  4000
mu[268,1]            -0.079   0.133   -0.339   -0.165   -0.078    0.011    0.175 1.001  4000
mu[269,1]            -1.326   0.182   -1.674   -1.446   -1.327   -1.205   -0.967 1.001  3300
mu[270,1]            -1.211   0.260   -1.724   -1.380   -1.209   -1.039   -0.690 1.001  3500
mu[271,1]            -1.211   0.260   -1.724   -1.380   -1.209   -1.039   -0.690 1.001  3500
mu[272,1]            -1.211   0.260   -1.724   -1.380   -1.209   -1.039   -0.690 1.001  3500
mu[273,1]            -1.211   0.260   -1.724   -1.380   -1.209   -1.039   -0.690 1.001  3500
mu[274,1]             0.679   0.142    0.394    0.585    0.677    0.775    0.955 1.001  4000
mu[275,1]             0.679   0.142    0.394    0.585    0.677    0.775    0.955 1.001  4000
mu[276,1]            -1.219   0.211   -1.627   -1.360   -1.221   -1.078   -0.797 1.001  4000
mu[277,1]             0.679   0.142    0.394    0.585    0.677    0.775    0.955 1.001  4000
mu[278,1]             0.679   0.142    0.394    0.585    0.677    0.775    0.955 1.001  4000
mu[279,1]            -1.219   0.211   -1.627   -1.360   -1.221   -1.078   -0.797 1.001  4000
mu[280,1]            -1.219   0.211   -1.627   -1.360   -1.221   -1.078   -0.797 1.001  4000
mu[281,1]             0.858   0.166    0.534    0.747    0.858    0.971    1.185 1.002  1500
mu[282,1]            -1.219   0.211   -1.627   -1.360   -1.221   -1.078   -0.797 1.001  4000
mu[283,1]            -1.219   0.211   -1.627   -1.360   -1.221   -1.078   -0.797 1.001  4000
mu[284,1]             0.679   0.142    0.394    0.585    0.677    0.775    0.955 1.001  4000
mu[285,1]             0.858   0.166    0.534    0.747    0.858    0.971    1.185 1.002  1500
mu[286,1]             0.679   0.142    0.394    0.585    0.677    0.775    0.955 1.001  4000
mu[287,1]             0.679   0.142    0.394    0.585    0.677    0.775    0.955 1.001  4000
mu[288,1]             0.118   0.131   -0.138    0.028    0.119    0.211    0.372 1.001  4000
mu[289,1]             0.858   0.166    0.534    0.747    0.858    0.971    1.185 1.002  1500
mu[290,1]            -1.219   0.211   -1.627   -1.360   -1.221   -1.078   -0.797 1.001  4000
mu[291,1]             0.118   0.131   -0.138    0.028    0.119    0.211    0.372 1.001  4000
mu[292,1]             0.679   0.142    0.394    0.585    0.677    0.775    0.955 1.001  4000
mu[293,1]             0.858   0.166    0.534    0.747    0.858    0.971    1.185 1.002  1500
mu[294,1]             0.858   0.166    0.534    0.747    0.858    0.971    1.185 1.002  1500
mu[295,1]             0.118   0.131   -0.138    0.028    0.119    0.211    0.372 1.001  4000
mu[296,1]             0.118   0.131   -0.138    0.028    0.119    0.211    0.372 1.001  4000
mu[297,1]            -1.219   0.211   -1.627   -1.360   -1.221   -1.078   -0.797 1.001  4000
mu[298,1]             0.118   0.131   -0.138    0.028    0.119    0.211    0.372 1.001  4000
mu[299,1]             0.858   0.166    0.534    0.747    0.858    0.971    1.185 1.002  1500
mu[300,1]             0.858   0.166    0.534    0.747    0.858    0.971    1.185 1.002  1500
mu[301,1]            -1.219   0.211   -1.627   -1.360   -1.221   -1.078   -0.797 1.001  4000
mu[302,1]             0.336   0.162    0.025    0.225    0.336    0.449    0.646 1.001  4000
mu[303,1]             0.858   0.166    0.534    0.747    0.858    0.971    1.185 1.002  1500
mu[304,1]             0.118   0.131   -0.138    0.028    0.119    0.211    0.372 1.001  4000
mu[305,1]             0.336   0.162    0.025    0.225    0.336    0.449    0.646 1.001  4000
mu[306,1]             0.118   0.131   -0.138    0.028    0.119    0.211    0.372 1.001  4000
mu[307,1]             0.336   0.162    0.025    0.225    0.336    0.449    0.646 1.001  4000
mu[308,1]             0.336   0.162    0.025    0.225    0.336    0.449    0.646 1.001  4000
mu[309,1]             0.118   0.131   -0.138    0.028    0.119    0.211    0.372 1.001  4000
mu[310,1]             0.336   0.162    0.025    0.225    0.336    0.449    0.646 1.001  4000
mu[311,1]             0.336   0.162    0.025    0.225    0.336    0.449    0.646 1.001  4000
mu[312,1]             0.336   0.162    0.025    0.225    0.336    0.449    0.646 1.001  4000
mu[313,1]             0.336   0.162    0.025    0.225    0.336    0.449    0.646 1.001  4000
mu[314,1]             0.057   0.255   -0.466   -0.110    0.063    0.230    0.550 1.001  2900
mu[315,1]             0.057   0.255   -0.466   -0.110    0.063    0.230    0.550 1.001  2900
mu[316,1]             0.057   0.255   -0.466   -0.110    0.063    0.230    0.550 1.001  2900
mu[317,1]             0.057   0.255   -0.466   -0.110    0.063    0.230    0.550 1.001  2900
mu[318,1]            -1.148   0.156   -1.455   -1.251   -1.149   -1.042   -0.842 1.002  2500
mu[319,1]            -1.148   0.156   -1.455   -1.251   -1.149   -1.042   -0.842 1.002  2500
mu[320,1]            -1.148   0.156   -1.455   -1.251   -1.149   -1.042   -0.842 1.002  2500
mu[321,1]            -1.148   0.156   -1.455   -1.251   -1.149   -1.042   -0.842 1.002  2500
mu[322,1]            -1.148   0.156   -1.455   -1.251   -1.149   -1.042   -0.842 1.002  2500
mu[323,1]            -1.148   0.156   -1.455   -1.251   -1.149   -1.042   -0.842 1.002  2500
mu[324,1]            -1.148   0.156   -1.455   -1.251   -1.149   -1.042   -0.842 1.002  2500
mu[325,1]            -1.148   0.156   -1.455   -1.251   -1.149   -1.042   -0.842 1.002  2500
mu[326,1]             0.228   0.147   -0.055    0.127    0.227    0.325    0.528 1.002  2300
mu[327,1]            -0.730   0.168   -1.058   -0.841   -0.731   -0.621   -0.396 1.001  4000
mu[328,1]            -0.730   0.168   -1.058   -0.841   -0.731   -0.621   -0.396 1.001  4000
mu[329,1]             0.228   0.147   -0.055    0.127    0.227    0.325    0.528 1.002  2300
mu[330,1]            -0.730   0.168   -1.058   -0.841   -0.731   -0.621   -0.396 1.001  4000
mu[331,1]             0.228   0.147   -0.055    0.127    0.227    0.325    0.528 1.002  2300
mu[332,1]             0.228   0.147   -0.055    0.127    0.227    0.325    0.528 1.002  2300
mu[333,1]             0.228   0.147   -0.055    0.127    0.227    0.325    0.528 1.002  2300
mu[334,1]            -0.730   0.168   -1.058   -0.841   -0.731   -0.621   -0.396 1.001  4000
mu[335,1]             0.228   0.147   -0.055    0.127    0.227    0.325    0.528 1.002  2300
mu[336,1]             0.228   0.147   -0.055    0.127    0.227    0.325    0.528 1.002  2300
mu[337,1]            -0.730   0.168   -1.058   -0.841   -0.731   -0.621   -0.396 1.001  4000
mu[338,1]             0.228   0.147   -0.055    0.127    0.227    0.325    0.528 1.002  2300
mu[339,1]            -0.730   0.168   -1.058   -0.841   -0.731   -0.621   -0.396 1.001  4000
mu[340,1]            -0.730   0.168   -1.058   -0.841   -0.731   -0.621   -0.396 1.001  4000
mu[341,1]            -0.730   0.168   -1.058   -0.841   -0.731   -0.621   -0.396 1.001  4000
mu[342,1]            -0.856   0.152   -1.147   -0.959   -0.854   -0.753   -0.554 1.001  4000
mu[343,1]            -0.856   0.152   -1.147   -0.959   -0.854   -0.753   -0.554 1.001  4000
mu[344,1]            -0.856   0.152   -1.147   -0.959   -0.854   -0.753   -0.554 1.001  4000
mu[345,1]            -0.856   0.152   -1.147   -0.959   -0.854   -0.753   -0.554 1.001  4000
mu[346,1]            -0.856   0.152   -1.147   -0.959   -0.854   -0.753   -0.554 1.001  4000
mu[347,1]            -0.856   0.152   -1.147   -0.959   -0.854   -0.753   -0.554 1.001  4000
mu[348,1]            -0.856   0.152   -1.147   -0.959   -0.854   -0.753   -0.554 1.001  4000
mu[349,1]            -0.856   0.152   -1.147   -0.959   -0.854   -0.753   -0.554 1.001  4000
mu[350,1]            -0.395   0.203   -0.792   -0.530   -0.397   -0.250    0.007 1.001  4000
mu[351,1]            -0.395   0.203   -0.792   -0.530   -0.397   -0.250    0.007 1.001  4000
mu[352,1]            -0.395   0.203   -0.792   -0.530   -0.397   -0.250    0.007 1.001  4000
mu[353,1]            -0.395   0.203   -0.792   -0.530   -0.397   -0.250    0.007 1.001  4000
mu[354,1]            -0.395   0.203   -0.792   -0.530   -0.397   -0.250    0.007 1.001  4000
mu[355,1]            -0.395   0.203   -0.792   -0.530   -0.397   -0.250    0.007 1.001  4000
mu[356,1]            -0.395   0.203   -0.792   -0.530   -0.397   -0.250    0.007 1.001  4000
mu[357,1]            -0.395   0.203   -0.792   -0.530   -0.397   -0.250    0.007 1.001  4000
mu[358,1]            -0.725   0.218   -1.149   -0.877   -0.727   -0.575   -0.301 1.001  3400
mu[359,1]            -0.725   0.218   -1.149   -0.877   -0.727   -0.575   -0.301 1.001  3400
mu[360,1]            -0.725   0.218   -1.149   -0.877   -0.727   -0.575   -0.301 1.001  3400
mu[361,1]            -0.725   0.218   -1.149   -0.877   -0.727   -0.575   -0.301 1.001  3400
mu[362,1]            -0.725   0.218   -1.149   -0.877   -0.727   -0.575   -0.301 1.001  3400
mu[363,1]            -0.725   0.218   -1.149   -0.877   -0.727   -0.575   -0.301 1.001  3400
mu[364,1]            -0.725   0.218   -1.149   -0.877   -0.727   -0.575   -0.301 1.001  3400
mu[365,1]            -0.725   0.218   -1.149   -0.877   -0.727   -0.575   -0.301 1.001  3400
mu[366,1]             0.894   0.238    0.429    0.737    0.893    1.053    1.360 1.001  4000
mu[367,1]             0.894   0.238    0.429    0.737    0.893    1.053    1.360 1.001  4000
mu[368,1]             0.894   0.238    0.429    0.737    0.893    1.053    1.360 1.001  4000
mu[369,1]             0.894   0.238    0.429    0.737    0.893    1.053    1.360 1.001  4000
mu[370,1]            -0.178   0.133   -0.439   -0.268   -0.178   -0.086    0.077 1.000  4000
mu[371,1]             0.561   0.170    0.228    0.443    0.565    0.676    0.891 1.002  1600
mu[372,1]            -0.178   0.133   -0.439   -0.268   -0.178   -0.086    0.077 1.000  4000
mu[373,1]             0.561   0.170    0.228    0.443    0.565    0.676    0.891 1.002  1600
mu[374,1]             0.561   0.170    0.228    0.443    0.565    0.676    0.891 1.002  1600
mu[375,1]            -0.178   0.133   -0.439   -0.268   -0.178   -0.086    0.077 1.000  4000
mu[376,1]            -0.178   0.133   -0.439   -0.268   -0.178   -0.086    0.077 1.000  4000
mu[377,1]             0.039   0.160   -0.272   -0.069    0.041    0.148    0.348 1.001  3100
mu[378,1]             0.039   0.160   -0.272   -0.069    0.041    0.148    0.348 1.001  3100
mu[379,1]             0.039   0.160   -0.272   -0.069    0.041    0.148    0.348 1.001  3100
mu[380,1]             0.561   0.170    0.228    0.443    0.565    0.676    0.891 1.002  1600
mu[381,1]             0.561   0.170    0.228    0.443    0.565    0.676    0.891 1.002  1600
mu[382,1]            -0.178   0.133   -0.439   -0.268   -0.178   -0.086    0.077 1.000  4000
mu[383,1]             0.039   0.160   -0.272   -0.069    0.041    0.148    0.348 1.001  3100
mu[384,1]             0.561   0.170    0.228    0.443    0.565    0.676    0.891 1.002  1600
mu[385,1]            -0.178   0.133   -0.439   -0.268   -0.178   -0.086    0.077 1.000  4000
mu[386,1]            -0.178   0.133   -0.439   -0.268   -0.178   -0.086    0.077 1.000  4000
mu[387,1]             0.039   0.160   -0.272   -0.069    0.041    0.148    0.348 1.001  3100
mu[388,1]            -0.178   0.133   -0.439   -0.268   -0.178   -0.086    0.077 1.000  4000
mu[389,1]             0.039   0.160   -0.272   -0.069    0.041    0.148    0.348 1.001  3100
mu[390,1]             0.039   0.160   -0.272   -0.069    0.041    0.148    0.348 1.001  3100
mu[391,1]             0.039   0.160   -0.272   -0.069    0.041    0.148    0.348 1.001  3100
mu[392,1]             1.219   0.139    0.943    1.125    1.220    1.311    1.493 1.002  2000
mu[393,1]             0.608   0.200    0.220    0.472    0.607    0.741    0.999 1.002  2000
mu[394,1]             0.608   0.200    0.220    0.472    0.607    0.741    0.999 1.002  2000
mu[395,1]             1.219   0.139    0.943    1.125    1.220    1.311    1.493 1.002  2000
mu[396,1]             0.608   0.200    0.220    0.472    0.607    0.741    0.999 1.002  2000
mu[397,1]             1.219   0.139    0.943    1.125    1.220    1.311    1.493 1.002  2000
mu[398,1]             1.219   0.139    0.943    1.125    1.220    1.311    1.493 1.002  2000
mu[399,1]             0.608   0.200    0.220    0.472    0.607    0.741    0.999 1.002  2000
mu[400,1]             0.608   0.200    0.220    0.472    0.607    0.741    0.999 1.002  2000
mu[401,1]             1.219   0.139    0.943    1.125    1.220    1.311    1.493 1.002  2000
mu[402,1]             1.219   0.139    0.943    1.125    1.220    1.311    1.493 1.002  2000
mu[403,1]             1.219   0.139    0.943    1.125    1.220    1.311    1.493 1.002  2000
mu[404,1]             0.608   0.200    0.220    0.472    0.607    0.741    0.999 1.002  2000
mu[405,1]             0.608   0.200    0.220    0.472    0.607    0.741    0.999 1.002  2000
mu[406,1]             0.608   0.200    0.220    0.472    0.607    0.741    0.999 1.002  2000
mu[407,1]             1.219   0.139    0.943    1.125    1.220    1.311    1.493 1.002  2000
mu[408,1]             0.645   0.208    0.233    0.504    0.648    0.782    1.054 1.002  2600
mu[409,1]             0.645   0.208    0.233    0.504    0.648    0.782    1.054 1.002  2600
mu[410,1]            -0.476   0.126   -0.725   -0.563   -0.474   -0.391   -0.224 1.001  4000
mu[411,1]             0.645   0.208    0.233    0.504    0.648    0.782    1.054 1.002  2600
mu[412,1]            -0.476   0.126   -0.725   -0.563   -0.474   -0.391   -0.224 1.001  4000
mu[413,1]             0.645   0.208    0.233    0.504    0.648    0.782    1.054 1.002  2600
mu[414,1]            -0.476   0.126   -0.725   -0.563   -0.474   -0.391   -0.224 1.001  4000
mu[415,1]            -0.476   0.126   -0.725   -0.563   -0.474   -0.391   -0.224 1.001  4000
mu[416,1]             0.645   0.208    0.233    0.504    0.648    0.782    1.054 1.002  2600
mu[417,1]            -0.476   0.126   -0.725   -0.563   -0.474   -0.391   -0.224 1.001  4000
mu[418,1]            -0.476   0.126   -0.725   -0.563   -0.474   -0.391   -0.224 1.001  4000
mu[419,1]             0.645   0.208    0.233    0.504    0.648    0.782    1.054 1.002  2600
mu[420,1]             0.645   0.208    0.233    0.504    0.648    0.782    1.054 1.002  2600
mu[421,1]            -0.476   0.126   -0.725   -0.563   -0.474   -0.391   -0.224 1.001  4000
mu[422,1]             0.645   0.208    0.233    0.504    0.648    0.782    1.054 1.002  2600
mu[423,1]            -0.343   0.120   -0.579   -0.425   -0.340   -0.263   -0.109 1.001  4000
mu[424,1]            -0.343   0.120   -0.579   -0.425   -0.340   -0.263   -0.109 1.001  4000
mu[425,1]            -0.343   0.120   -0.579   -0.425   -0.340   -0.263   -0.109 1.001  4000
mu[426,1]            -0.343   0.120   -0.579   -0.425   -0.340   -0.263   -0.109 1.001  4000
mu[427,1]            -0.343   0.120   -0.579   -0.425   -0.340   -0.263   -0.109 1.001  4000
mu[428,1]            -0.343   0.120   -0.579   -0.425   -0.340   -0.263   -0.109 1.001  4000
mu[429,1]            -0.343   0.120   -0.579   -0.425   -0.340   -0.263   -0.109 1.001  4000
mu[430,1]            -0.343   0.120   -0.579   -0.425   -0.340   -0.263   -0.109 1.001  4000
mu[431,1]            -0.673   0.175   -1.011   -0.794   -0.672   -0.555   -0.334 1.000  4000
mu[432,1]            -0.673   0.175   -1.011   -0.794   -0.672   -0.555   -0.334 1.000  4000
mu[433,1]            -0.336   0.207   -0.734   -0.483   -0.337   -0.199    0.068 1.001  3500
mu[434,1]            -0.673   0.175   -1.011   -0.794   -0.672   -0.555   -0.334 1.000  4000
mu[435,1]            -0.336   0.207   -0.734   -0.483   -0.337   -0.199    0.068 1.001  3500
mu[436,1]            -0.336   0.207   -0.734   -0.483   -0.337   -0.199    0.068 1.001  3500
mu[437,1]            -0.336   0.207   -0.734   -0.483   -0.337   -0.199    0.068 1.001  3500
mu[438,1]            -0.673   0.175   -1.011   -0.794   -0.672   -0.555   -0.334 1.000  4000
mu[439,1]            -0.336   0.207   -0.734   -0.483   -0.337   -0.199    0.068 1.001  3500
mu[440,1]            -0.066   0.163   -0.391   -0.176   -0.067    0.045    0.251 1.002  2400
mu[441,1]            -0.673   0.175   -1.011   -0.794   -0.672   -0.555   -0.334 1.000  4000
mu[442,1]            -0.336   0.207   -0.734   -0.483   -0.337   -0.199    0.068 1.001  3500
mu[443,1]            -0.066   0.163   -0.391   -0.176   -0.067    0.045    0.251 1.002  2400
mu[444,1]            -0.673   0.175   -1.011   -0.794   -0.672   -0.555   -0.334 1.000  4000
mu[445,1]            -0.336   0.207   -0.734   -0.483   -0.337   -0.199    0.068 1.001  3500
mu[446,1]            -0.066   0.163   -0.391   -0.176   -0.067    0.045    0.251 1.002  2400
mu[447,1]            -0.336   0.207   -0.734   -0.483   -0.337   -0.199    0.068 1.001  3500
mu[448,1]            -0.066   0.163   -0.391   -0.176   -0.067    0.045    0.251 1.002  2400
mu[449,1]            -0.673   0.175   -1.011   -0.794   -0.672   -0.555   -0.334 1.000  4000
mu[450,1]            -0.066   0.163   -0.391   -0.176   -0.067    0.045    0.251 1.002  2400
mu[451,1]            -0.673   0.175   -1.011   -0.794   -0.672   -0.555   -0.334 1.000  4000
mu[452,1]            -0.066   0.163   -0.391   -0.176   -0.067    0.045    0.251 1.002  2400
mu[453,1]            -0.066   0.163   -0.391   -0.176   -0.067    0.045    0.251 1.002  2400
mu[454,1]            -0.066   0.163   -0.391   -0.176   -0.067    0.045    0.251 1.002  2400
mu[455,1]             0.293   0.173   -0.041    0.172    0.295    0.407    0.632 1.002  2000
mu[456,1]            -0.582   0.200   -0.982   -0.717   -0.583   -0.448   -0.188 1.002  2200
mu[457,1]            -0.582   0.200   -0.982   -0.717   -0.583   -0.448   -0.188 1.002  2200
mu[458,1]            -0.582   0.200   -0.982   -0.717   -0.583   -0.448   -0.188 1.002  2200
mu[459,1]             0.293   0.173   -0.041    0.172    0.295    0.407    0.632 1.002  2000
mu[460,1]             0.293   0.173   -0.041    0.172    0.295    0.407    0.632 1.002  2000
mu[461,1]             0.293   0.173   -0.041    0.172    0.295    0.407    0.632 1.002  2000
mu[462,1]             0.293   0.173   -0.041    0.172    0.295    0.407    0.632 1.002  2000
mu[463,1]             0.293   0.173   -0.041    0.172    0.295    0.407    0.632 1.002  2000
mu[464,1]             0.293   0.173   -0.041    0.172    0.295    0.407    0.632 1.002  2000
mu[465,1]             0.293   0.173   -0.041    0.172    0.295    0.407    0.632 1.002  2000
mu[466,1]            -0.896   0.200   -1.287   -1.032   -0.897   -0.763   -0.504 1.001  3100
mu[467,1]            -0.896   0.200   -1.287   -1.032   -0.897   -0.763   -0.504 1.001  3100
mu[468,1]            -0.896   0.200   -1.287   -1.032   -0.897   -0.763   -0.504 1.001  3100
mu[469,1]            -0.896   0.200   -1.287   -1.032   -0.897   -0.763   -0.504 1.001  3100
mu[470,1]            -0.896   0.200   -1.287   -1.032   -0.897   -0.763   -0.504 1.001  3100
mu[471,1]            -0.896   0.200   -1.287   -1.032   -0.897   -0.763   -0.504 1.001  3100
mu[472,1]            -0.896   0.200   -1.287   -1.032   -0.897   -0.763   -0.504 1.001  3100
mu[473,1]            -0.896   0.200   -1.287   -1.032   -0.897   -0.763   -0.504 1.001  3100
mu[474,1]            -0.708   0.209   -1.108   -0.850   -0.704   -0.567   -0.298 1.001  2900
mu[475,1]            -0.708   0.209   -1.108   -0.850   -0.704   -0.567   -0.298 1.001  2900
mu[476,1]            -0.708   0.209   -1.108   -0.850   -0.704   -0.567   -0.298 1.001  2900
mu[477,1]            -0.708   0.209   -1.108   -0.850   -0.704   -0.567   -0.298 1.001  2900
mu[478,1]            -0.086   0.131   -0.343   -0.174   -0.084    0.002    0.168 1.001  3600
mu[479,1]            -0.086   0.131   -0.343   -0.174   -0.084    0.002    0.168 1.001  3600
mu[480,1]            -0.516   0.198   -0.901   -0.649   -0.516   -0.383   -0.125 1.002  2000
mu[481,1]            -0.516   0.198   -0.901   -0.649   -0.516   -0.383   -0.125 1.002  2000
mu[482,1]            -0.516   0.198   -0.901   -0.649   -0.516   -0.383   -0.125 1.002  2000
mu[483,1]             1.009   0.124    0.769    0.925    1.010    1.092    1.255 1.001  3100
mu[484,1]             1.009   0.124    0.769    0.925    1.010    1.092    1.255 1.001  3100
mu[485,1]            -0.516   0.198   -0.901   -0.649   -0.516   -0.383   -0.125 1.002  2000
mu[486,1]            -0.516   0.198   -0.901   -0.649   -0.516   -0.383   -0.125 1.002  2000
mu[487,1]            -0.516   0.198   -0.901   -0.649   -0.516   -0.383   -0.125 1.002  2000
mu[488,1]             1.009   0.124    0.769    0.925    1.010    1.092    1.255 1.001  3100
mu[489,1]            -0.822   0.208   -1.227   -0.962   -0.820   -0.682   -0.413 1.001  4000
mu[490,1]            -0.516   0.198   -0.901   -0.649   -0.516   -0.383   -0.125 1.002  2000
mu[491,1]            -0.086   0.131   -0.343   -0.174   -0.084    0.002    0.168 1.001  3600
mu[492,1]             1.009   0.124    0.769    0.925    1.010    1.092    1.255 1.001  3100
mu[493,1]            -0.516   0.198   -0.901   -0.649   -0.516   -0.383   -0.125 1.002  2000
mu[494,1]            -0.822   0.208   -1.227   -0.962   -0.820   -0.682   -0.413 1.001  4000
mu[495,1]            -0.086   0.131   -0.343   -0.174   -0.084    0.002    0.168 1.001  3600
mu[496,1]            -0.086   0.131   -0.343   -0.174   -0.084    0.002    0.168 1.001  3600
mu[497,1]            -0.822   0.208   -1.227   -0.962   -0.820   -0.682   -0.413 1.001  4000
mu[498,1]            -0.822   0.208   -1.227   -0.962   -0.820   -0.682   -0.413 1.001  4000
mu[499,1]            -0.086   0.131   -0.343   -0.174   -0.084    0.002    0.168 1.001  3600
mu[500,1]            -0.822   0.208   -1.227   -0.962   -0.820   -0.682   -0.413 1.001  4000
mu[501,1]             1.009   0.124    0.769    0.925    1.010    1.092    1.255 1.001  3100
mu[502,1]            -0.086   0.131   -0.343   -0.174   -0.084    0.002    0.168 1.001  3600
mu[503,1]            -0.822   0.208   -1.227   -0.962   -0.820   -0.682   -0.413 1.001  4000
mu[504,1]            -0.822   0.208   -1.227   -0.962   -0.820   -0.682   -0.413 1.001  4000
mu[505,1]             1.009   0.124    0.769    0.925    1.010    1.092    1.255 1.001  3100
mu[506,1]             1.009   0.124    0.769    0.925    1.010    1.092    1.255 1.001  3100
mu[507,1]             1.009   0.124    0.769    0.925    1.010    1.092    1.255 1.001  3100
mu[508,1]            -0.822   0.208   -1.227   -0.962   -0.820   -0.682   -0.413 1.001  4000
mu[509,1]            -0.086   0.131   -0.343   -0.174   -0.084    0.002    0.168 1.001  3600
mu[510,1]             0.530   0.183    0.166    0.406    0.529    0.651    0.889 1.002  2400
mu[511,1]             0.530   0.183    0.166    0.406    0.529    0.651    0.889 1.002  2400
mu[512,1]             0.530   0.183    0.166    0.406    0.529    0.651    0.889 1.002  2400
mu[513,1]             0.530   0.183    0.166    0.406    0.529    0.651    0.889 1.002  2400
mu[514,1]             0.855   0.157    0.551    0.748    0.854    0.959    1.166 1.001  3100
mu[515,1]             0.855   0.157    0.551    0.748    0.854    0.959    1.166 1.001  3100
mu[516,1]            -0.557   0.151   -0.841   -0.659   -0.561   -0.458   -0.260 1.002  2400
mu[517,1]             0.855   0.157    0.551    0.748    0.854    0.959    1.166 1.001  3100
mu[518,1]            -0.557   0.151   -0.841   -0.659   -0.561   -0.458   -0.260 1.002  2400
mu[519,1]            -0.557   0.151   -0.841   -0.659   -0.561   -0.458   -0.260 1.002  2400
mu[520,1]            -0.557   0.151   -0.841   -0.659   -0.561   -0.458   -0.260 1.002  2400
mu[521,1]             0.435   0.167    0.101    0.326    0.436    0.546    0.759 1.001  3500
mu[522,1]             0.435   0.167    0.101    0.326    0.436    0.546    0.759 1.001  3500
mu[523,1]             0.435   0.167    0.101    0.326    0.436    0.546    0.759 1.001  3500
mu[524,1]             0.435   0.167    0.101    0.326    0.436    0.546    0.759 1.001  3500
mu[525,1]             0.435   0.167    0.101    0.326    0.436    0.546    0.759 1.001  3500
mu[526,1]             0.435   0.167    0.101    0.326    0.436    0.546    0.759 1.001  3500
mu[527,1]             0.435   0.167    0.101    0.326    0.436    0.546    0.759 1.001  3500
mu[528,1]             0.435   0.167    0.101    0.326    0.436    0.546    0.759 1.001  3500
mu[529,1]             0.320   0.161    0.007    0.211    0.318    0.426    0.642 1.001  2700
mu[530,1]             0.320   0.161    0.007    0.211    0.318    0.426    0.642 1.001  2700
mu[531,1]             0.320   0.161    0.007    0.211    0.318    0.426    0.642 1.001  2700
mu[532,1]             0.320   0.161    0.007    0.211    0.318    0.426    0.642 1.001  2700
mu[533,1]             0.320   0.161    0.007    0.211    0.318    0.426    0.642 1.001  2700
mu[534,1]             0.320   0.161    0.007    0.211    0.318    0.426    0.642 1.001  2700
mu[535,1]             0.320   0.161    0.007    0.211    0.318    0.426    0.642 1.001  2700
mu[536,1]             0.320   0.161    0.007    0.211    0.318    0.426    0.642 1.001  2700
mu[537,1]             2.324   0.172    1.984    2.209    2.323    2.442    2.660 1.001  4000
mu[538,1]             2.324   0.172    1.984    2.209    2.323    2.442    2.660 1.001  4000
mu[539,1]             2.324   0.172    1.984    2.209    2.323    2.442    2.660 1.001  4000
mu[540,1]             2.324   0.172    1.984    2.209    2.323    2.442    2.660 1.001  4000
mu[541,1]             2.324   0.172    1.984    2.209    2.323    2.442    2.660 1.001  4000
mu[542,1]             2.324   0.172    1.984    2.209    2.323    2.442    2.660 1.001  4000
mu[543,1]             2.324   0.172    1.984    2.209    2.323    2.442    2.660 1.001  4000
mu[544,1]             2.324   0.172    1.984    2.209    2.323    2.442    2.660 1.001  4000
mu[545,1]            -0.238   0.241   -0.702   -0.399   -0.241   -0.074    0.239 1.001  4000
mu[546,1]            -0.238   0.241   -0.702   -0.399   -0.241   -0.074    0.239 1.001  4000
mu[547,1]            -0.238   0.241   -0.702   -0.399   -0.241   -0.074    0.239 1.001  4000
mu[548,1]            -0.238   0.241   -0.702   -0.399   -0.241   -0.074    0.239 1.001  4000
mu[549,1]            -0.238   0.241   -0.702   -0.399   -0.241   -0.074    0.239 1.001  4000
mu[550,1]            -0.238   0.241   -0.702   -0.399   -0.241   -0.074    0.239 1.001  4000
mu[551,1]             0.073   0.197   -0.319   -0.058    0.075    0.208    0.445 1.001  3300
mu[552,1]             0.073   0.197   -0.319   -0.058    0.075    0.208    0.445 1.001  3300
mu[553,1]             0.073   0.197   -0.319   -0.058    0.075    0.208    0.445 1.001  3300
mu[554,1]             0.073   0.197   -0.319   -0.058    0.075    0.208    0.445 1.001  3300
mu[555,1]             0.073   0.197   -0.319   -0.058    0.075    0.208    0.445 1.001  3300
mu[556,1]             0.073   0.197   -0.319   -0.058    0.075    0.208    0.445 1.001  3300
mu[557,1]             0.073   0.197   -0.319   -0.058    0.075    0.208    0.445 1.001  3300
mu[558,1]             0.073   0.197   -0.319   -0.058    0.075    0.208    0.445 1.001  3300
mu[559,1]            -0.675   0.163   -0.996   -0.782   -0.676   -0.566   -0.355 1.002  1700
mu[560,1]            -0.625   0.208   -1.026   -0.763   -0.626   -0.485   -0.215 1.001  3200
mu[561,1]            -0.675   0.163   -0.996   -0.782   -0.676   -0.566   -0.355 1.002  1700
mu[562,1]            -0.675   0.163   -0.996   -0.782   -0.676   -0.566   -0.355 1.002  1700
mu[563,1]            -0.625   0.208   -1.026   -0.763   -0.626   -0.485   -0.215 1.001  3200
mu[564,1]            -0.675   0.163   -0.996   -0.782   -0.676   -0.566   -0.355 1.002  1700
mu[565,1]            -0.625   0.208   -1.026   -0.763   -0.626   -0.485   -0.215 1.001  3200
mu[566,1]            -0.625   0.208   -1.026   -0.763   -0.626   -0.485   -0.215 1.001  3200
mu[567,1]            -0.625   0.208   -1.026   -0.763   -0.626   -0.485   -0.215 1.001  3200
mu[568,1]            -0.675   0.163   -0.996   -0.782   -0.676   -0.566   -0.355 1.002  1700
mu[569,1]            -0.675   0.163   -0.996   -0.782   -0.676   -0.566   -0.355 1.002  1700
mu[570,1]            -0.675   0.163   -0.996   -0.782   -0.676   -0.566   -0.355 1.002  1700
mu[571,1]            -0.625   0.208   -1.026   -0.763   -0.626   -0.485   -0.215 1.001  3200
mu[572,1]            -0.625   0.208   -1.026   -0.763   -0.626   -0.485   -0.215 1.001  3200
mu[573,1]            -0.675   0.163   -0.996   -0.782   -0.676   -0.566   -0.355 1.002  1700
mu[574,1]            -0.625   0.208   -1.026   -0.763   -0.626   -0.485   -0.215 1.001  3200
mu[575,1]             0.947   0.172    0.611    0.835    0.943    1.061    1.289 1.001  4000
mu[576,1]             0.947   0.172    0.611    0.835    0.943    1.061    1.289 1.001  4000
mu[577,1]             0.947   0.172    0.611    0.835    0.943    1.061    1.289 1.001  4000
mu[578,1]             0.947   0.172    0.611    0.835    0.943    1.061    1.289 1.001  4000
mu[579,1]             0.947   0.172    0.611    0.835    0.943    1.061    1.289 1.001  4000
mu[580,1]             0.947   0.172    0.611    0.835    0.943    1.061    1.289 1.001  4000
mu[581,1]             0.947   0.172    0.611    0.835    0.943    1.061    1.289 1.001  4000
mu[582,1]             0.947   0.172    0.611    0.835    0.943    1.061    1.289 1.001  4000
mu[583,1]            -0.876   0.201   -1.272   -1.013   -0.877   -0.742   -0.482 1.001  4000
mu[584,1]            -0.876   0.201   -1.272   -1.013   -0.877   -0.742   -0.482 1.001  4000
mu[585,1]            -0.876   0.201   -1.272   -1.013   -0.877   -0.742   -0.482 1.001  4000
mu[586,1]            -0.876   0.201   -1.272   -1.013   -0.877   -0.742   -0.482 1.001  4000
mu[587,1]            -0.876   0.201   -1.272   -1.013   -0.877   -0.742   -0.482 1.001  4000
mu[588,1]            -0.876   0.201   -1.272   -1.013   -0.877   -0.742   -0.482 1.001  4000
mu[589,1]            -0.876   0.201   -1.272   -1.013   -0.877   -0.742   -0.482 1.001  4000
mu[590,1]            -0.876   0.201   -1.272   -1.013   -0.877   -0.742   -0.482 1.001  4000
mu[1,2]               1.026   0.175    0.683    0.911    1.028    1.143    1.365 1.001  4000
mu[2,2]               1.026   0.175    0.683    0.911    1.028    1.143    1.365 1.001  4000
mu[3,2]               1.026   0.175    0.683    0.911    1.028    1.143    1.365 1.001  4000
mu[4,2]               1.026   0.175    0.683    0.911    1.028    1.143    1.365 1.001  4000
mu[5,2]               1.026   0.175    0.683    0.911    1.028    1.143    1.365 1.001  4000
mu[6,2]               1.026   0.175    0.683    0.911    1.028    1.143    1.365 1.001  4000
mu[7,2]               1.026   0.175    0.683    0.911    1.028    1.143    1.365 1.001  4000
mu[8,2]               1.026   0.175    0.683    0.911    1.028    1.143    1.365 1.001  4000
mu[9,2]               0.935   0.239    0.450    0.776    0.939    1.099    1.406 1.001  2900
mu[10,2]              0.935   0.239    0.450    0.776    0.939    1.099    1.406 1.001  2900
mu[11,2]              0.935   0.239    0.450    0.776    0.939    1.099    1.406 1.001  2900
mu[12,2]              0.935   0.239    0.450    0.776    0.939    1.099    1.406 1.001  2900
mu[13,2]              0.935   0.239    0.450    0.776    0.939    1.099    1.406 1.001  2900
mu[14,2]              0.935   0.239    0.450    0.776    0.939    1.099    1.406 1.001  2900
mu[15,2]              0.935   0.239    0.450    0.776    0.939    1.099    1.406 1.001  2900
mu[16,2]              0.935   0.239    0.450    0.776    0.939    1.099    1.406 1.001  2900
mu[17,2]              0.140   0.195   -0.249    0.011    0.144    0.264    0.519 1.001  4000
mu[18,2]              0.140   0.195   -0.249    0.011    0.144    0.264    0.519 1.001  4000
mu[19,2]              0.140   0.195   -0.249    0.011    0.144    0.264    0.519 1.001  4000
mu[20,2]              0.140   0.195   -0.249    0.011    0.144    0.264    0.519 1.001  4000
mu[21,2]              0.140   0.195   -0.249    0.011    0.144    0.264    0.519 1.001  4000
mu[22,2]              0.140   0.195   -0.249    0.011    0.144    0.264    0.519 1.001  4000
mu[23,2]              0.140   0.195   -0.249    0.011    0.144    0.264    0.519 1.001  4000
mu[24,2]              2.069   0.184    1.712    1.945    2.072    2.194    2.427 1.002  2600
mu[25,2]              2.069   0.184    1.712    1.945    2.072    2.194    2.427 1.002  2600
mu[26,2]              2.069   0.184    1.712    1.945    2.072    2.194    2.427 1.002  2600
mu[27,2]              2.069   0.184    1.712    1.945    2.072    2.194    2.427 1.002  2600
mu[28,2]              2.069   0.184    1.712    1.945    2.072    2.194    2.427 1.002  2600
mu[29,2]              2.069   0.184    1.712    1.945    2.072    2.194    2.427 1.002  2600
mu[30,2]              2.069   0.184    1.712    1.945    2.072    2.194    2.427 1.002  2600
mu[31,2]              2.069   0.184    1.712    1.945    2.072    2.194    2.427 1.002  2600
mu[32,2]              0.816   0.261    0.300    0.641    0.816    0.997    1.314 1.002  2300
mu[33,2]              0.763   0.241    0.289    0.604    0.759    0.922    1.257 1.001  4000
mu[34,2]              0.061   0.227   -0.385   -0.093    0.060    0.212    0.507 1.001  4000
mu[35,2]              0.816   0.261    0.300    0.641    0.816    0.997    1.314 1.002  2300
mu[36,2]              0.061   0.227   -0.385   -0.093    0.060    0.212    0.507 1.001  4000
mu[37,2]              0.763   0.241    0.289    0.604    0.759    0.922    1.257 1.001  4000
mu[38,2]              0.816   0.261    0.300    0.641    0.816    0.997    1.314 1.002  2300
mu[39,2]              0.816   0.261    0.300    0.641    0.816    0.997    1.314 1.002  2300
mu[40,2]              0.061   0.227   -0.385   -0.093    0.060    0.212    0.507 1.001  4000
mu[41,2]              0.763   0.241    0.289    0.604    0.759    0.922    1.257 1.001  4000
mu[42,2]              0.763   0.241    0.289    0.604    0.759    0.922    1.257 1.001  4000
mu[43,2]              0.763   0.241    0.289    0.604    0.759    0.922    1.257 1.001  4000
mu[44,2]              0.061   0.227   -0.385   -0.093    0.060    0.212    0.507 1.001  4000
mu[45,2]              0.061   0.227   -0.385   -0.093    0.060    0.212    0.507 1.001  4000
mu[46,2]              0.816   0.261    0.300    0.641    0.816    0.997    1.314 1.002  2300
mu[47,2]              0.061   0.227   -0.385   -0.093    0.060    0.212    0.507 1.001  4000
mu[48,2]              0.061   0.227   -0.385   -0.093    0.060    0.212    0.507 1.001  4000
mu[49,2]              0.763   0.241    0.289    0.604    0.759    0.922    1.257 1.001  4000
mu[50,2]              0.061   0.227   -0.385   -0.093    0.060    0.212    0.507 1.001  4000
mu[51,2]              0.536   0.212    0.116    0.390    0.539    0.683    0.951 1.001  4000
mu[52,2]              0.282   0.198   -0.099    0.145    0.279    0.413    0.683 1.001  4000
mu[53,2]              0.282   0.198   -0.099    0.145    0.279    0.413    0.683 1.001  4000
mu[54,2]              0.282   0.198   -0.099    0.145    0.279    0.413    0.683 1.001  4000
mu[55,2]              0.282   0.198   -0.099    0.145    0.279    0.413    0.683 1.001  4000
mu[56,2]              0.536   0.212    0.116    0.390    0.539    0.683    0.951 1.001  4000
mu[57,2]              0.282   0.198   -0.099    0.145    0.279    0.413    0.683 1.001  4000
mu[58,2]              0.536   0.212    0.116    0.390    0.539    0.683    0.951 1.001  4000
mu[59,2]              0.536   0.212    0.116    0.390    0.539    0.683    0.951 1.001  4000
mu[60,2]              0.282   0.198   -0.099    0.145    0.279    0.413    0.683 1.001  4000
mu[61,2]              0.536   0.212    0.116    0.390    0.539    0.683    0.951 1.001  4000
mu[62,2]              0.536   0.212    0.116    0.390    0.539    0.683    0.951 1.001  4000
mu[63,2]              0.282   0.198   -0.099    0.145    0.279    0.413    0.683 1.001  4000
mu[64,2]              0.282   0.198   -0.099    0.145    0.279    0.413    0.683 1.001  4000
mu[65,2]             -0.064   0.230   -0.511   -0.219   -0.062    0.094    0.387 1.001  4000
mu[66,2]             -0.064   0.230   -0.511   -0.219   -0.062    0.094    0.387 1.001  4000
mu[67,2]             -0.064   0.230   -0.511   -0.219   -0.062    0.094    0.387 1.001  4000
mu[68,2]             -0.277   0.237   -0.738   -0.437   -0.275   -0.116    0.185 1.001  4000
mu[69,2]             -0.277   0.237   -0.738   -0.437   -0.275   -0.116    0.185 1.001  4000
mu[70,2]             -0.064   0.230   -0.511   -0.219   -0.062    0.094    0.387 1.001  4000
mu[71,2]             -0.277   0.237   -0.738   -0.437   -0.275   -0.116    0.185 1.001  4000
mu[72,2]             -0.064   0.230   -0.511   -0.219   -0.062    0.094    0.387 1.001  4000
mu[73,2]             -0.064   0.230   -0.511   -0.219   -0.062    0.094    0.387 1.001  4000
mu[74,2]             -0.277   0.237   -0.738   -0.437   -0.275   -0.116    0.185 1.001  4000
mu[75,2]             -0.277   0.237   -0.738   -0.437   -0.275   -0.116    0.185 1.001  4000
mu[76,2]             -0.277   0.237   -0.738   -0.437   -0.275   -0.116    0.185 1.001  4000
mu[77,2]             -0.277   0.237   -0.738   -0.437   -0.275   -0.116    0.185 1.001  4000
mu[78,2]             -0.277   0.237   -0.738   -0.437   -0.275   -0.116    0.185 1.001  4000
mu[79,2]             -0.064   0.230   -0.511   -0.219   -0.062    0.094    0.387 1.001  4000
mu[80,2]              0.944   0.232    0.487    0.792    0.942    1.099    1.402 1.002  2300
mu[81,2]              0.944   0.232    0.487    0.792    0.942    1.099    1.402 1.002  2300
mu[82,2]              0.944   0.232    0.487    0.792    0.942    1.099    1.402 1.002  2300
mu[83,2]              0.944   0.232    0.487    0.792    0.942    1.099    1.402 1.002  2300
mu[84,2]              0.944   0.232    0.487    0.792    0.942    1.099    1.402 1.002  2300
mu[85,2]              0.944   0.232    0.487    0.792    0.942    1.099    1.402 1.002  2300
mu[86,2]              0.944   0.232    0.487    0.792    0.942    1.099    1.402 1.002  2300
mu[87,2]              0.944   0.232    0.487    0.792    0.942    1.099    1.402 1.002  2300
mu[88,2]              0.854   0.190    0.466    0.729    0.854    0.987    1.215 1.001  3900
mu[89,2]              0.854   0.190    0.466    0.729    0.854    0.987    1.215 1.001  3900
mu[90,2]              0.854   0.190    0.466    0.729    0.854    0.987    1.215 1.001  3900
mu[91,2]              0.854   0.190    0.466    0.729    0.854    0.987    1.215 1.001  3900
mu[92,2]              0.854   0.190    0.466    0.729    0.854    0.987    1.215 1.001  3900
mu[93,2]              0.854   0.190    0.466    0.729    0.854    0.987    1.215 1.001  3900
mu[94,2]              0.854   0.190    0.466    0.729    0.854    0.987    1.215 1.001  3900
mu[95,2]              0.854   0.190    0.466    0.729    0.854    0.987    1.215 1.001  3900
mu[96,2]             -0.047   0.236   -0.519   -0.208   -0.051    0.114    0.413 1.001  3000
mu[97,2]             -0.047   0.236   -0.519   -0.208   -0.051    0.114    0.413 1.001  3000
mu[98,2]             -0.047   0.236   -0.519   -0.208   -0.051    0.114    0.413 1.001  3000
mu[99,2]             -0.047   0.236   -0.519   -0.208   -0.051    0.114    0.413 1.001  3000
mu[100,2]            -0.047   0.236   -0.519   -0.208   -0.051    0.114    0.413 1.001  3000
mu[101,2]            -0.047   0.236   -0.519   -0.208   -0.051    0.114    0.413 1.001  3000
mu[102,2]            -0.047   0.236   -0.519   -0.208   -0.051    0.114    0.413 1.001  3000
mu[103,2]            -0.047   0.236   -0.519   -0.208   -0.051    0.114    0.413 1.001  3000
mu[104,2]             0.524   0.177    0.172    0.407    0.525    0.642    0.881 1.001  4000
mu[105,2]             0.524   0.177    0.172    0.407    0.525    0.642    0.881 1.001  4000
mu[106,2]             0.524   0.177    0.172    0.407    0.525    0.642    0.881 1.001  4000
mu[107,2]             0.524   0.177    0.172    0.407    0.525    0.642    0.881 1.001  4000
mu[108,2]             0.524   0.177    0.172    0.407    0.525    0.642    0.881 1.001  4000
mu[109,2]             0.524   0.177    0.172    0.407    0.525    0.642    0.881 1.001  4000
mu[110,2]             0.524   0.177    0.172    0.407    0.525    0.642    0.881 1.001  4000
mu[111,2]             0.524   0.177    0.172    0.407    0.525    0.642    0.881 1.001  4000
mu[112,2]            -0.364   0.166   -0.693   -0.474   -0.363   -0.249   -0.040 1.001  3300
mu[113,2]            -0.078   0.155   -0.382   -0.183   -0.078    0.029    0.220 1.001  3600
mu[114,2]            -0.078   0.155   -0.382   -0.183   -0.078    0.029    0.220 1.001  3600
mu[115,2]            -0.376   0.137   -0.641   -0.470   -0.376   -0.282   -0.111 1.001  4000
mu[116,2]            -0.078   0.155   -0.382   -0.183   -0.078    0.029    0.220 1.001  3600
mu[117,2]            -0.078   0.155   -0.382   -0.183   -0.078    0.029    0.220 1.001  3600
mu[118,2]            -0.376   0.137   -0.641   -0.470   -0.376   -0.282   -0.111 1.001  4000
mu[119,2]            -0.364   0.166   -0.693   -0.474   -0.363   -0.249   -0.040 1.001  3300
mu[120,2]            -0.078   0.155   -0.382   -0.183   -0.078    0.029    0.220 1.001  3600
mu[121,2]            -0.364   0.166   -0.693   -0.474   -0.363   -0.249   -0.040 1.001  3300
mu[122,2]            -0.376   0.137   -0.641   -0.470   -0.376   -0.282   -0.111 1.001  4000
mu[123,2]            -0.364   0.166   -0.693   -0.474   -0.363   -0.249   -0.040 1.001  3300
mu[124,2]            -0.376   0.137   -0.641   -0.470   -0.376   -0.282   -0.111 1.001  4000
mu[125,2]            -0.035   0.152   -0.332   -0.139   -0.033    0.067    0.264 1.001  4000
mu[126,2]            -0.376   0.137   -0.641   -0.470   -0.376   -0.282   -0.111 1.001  4000
mu[127,2]            -0.364   0.166   -0.693   -0.474   -0.363   -0.249   -0.040 1.001  3300
mu[128,2]            -0.078   0.155   -0.382   -0.183   -0.078    0.029    0.220 1.001  3600
mu[129,2]            -0.395   0.144   -0.679   -0.493   -0.398   -0.298   -0.109 1.001  4000
mu[130,2]            -0.078   0.155   -0.382   -0.183   -0.078    0.029    0.220 1.001  3600
mu[131,2]            -0.376   0.137   -0.641   -0.470   -0.376   -0.282   -0.111 1.001  4000
mu[132,2]            -0.364   0.166   -0.693   -0.474   -0.363   -0.249   -0.040 1.001  3300
mu[133,2]            -0.376   0.137   -0.641   -0.470   -0.376   -0.282   -0.111 1.001  4000
mu[134,2]            -0.364   0.166   -0.693   -0.474   -0.363   -0.249   -0.040 1.001  3300
mu[135,2]            -0.376   0.137   -0.641   -0.470   -0.376   -0.282   -0.111 1.001  4000
mu[136,2]            -0.395   0.144   -0.679   -0.493   -0.398   -0.298   -0.109 1.001  4000
mu[137,2]            -0.395   0.144   -0.679   -0.493   -0.398   -0.298   -0.109 1.001  4000
mu[138,2]            -0.364   0.166   -0.693   -0.474   -0.363   -0.249   -0.040 1.001  3300
mu[139,2]            -0.078   0.155   -0.382   -0.183   -0.078    0.029    0.220 1.001  3600
mu[140,2]            -0.395   0.144   -0.679   -0.493   -0.398   -0.298   -0.109 1.001  4000
mu[141,2]            -0.165   0.146   -0.448   -0.264   -0.165   -0.067    0.121 1.001  3500
mu[142,2]            -0.165   0.146   -0.448   -0.264   -0.165   -0.067    0.121 1.001  3500
mu[143,2]            -0.165   0.146   -0.448   -0.264   -0.165   -0.067    0.121 1.001  3500
mu[144,2]            -0.442   0.195   -0.831   -0.570   -0.442   -0.310   -0.067 1.001  4000
mu[145,2]            -0.117   0.202   -0.506   -0.254   -0.118    0.023    0.278 1.001  4000
mu[146,2]            -0.427   0.148   -0.722   -0.523   -0.426   -0.325   -0.144 1.000  4000
mu[147,2]            -0.117   0.202   -0.506   -0.254   -0.118    0.023    0.278 1.001  4000
mu[148,2]            -0.427   0.148   -0.722   -0.523   -0.426   -0.325   -0.144 1.000  4000
mu[149,2]            -0.117   0.202   -0.506   -0.254   -0.118    0.023    0.278 1.001  4000
mu[150,2]            -0.427   0.148   -0.722   -0.523   -0.426   -0.325   -0.144 1.000  4000
mu[151,2]            -0.427   0.148   -0.722   -0.523   -0.426   -0.325   -0.144 1.000  4000
mu[152,2]            -0.298   0.215   -0.722   -0.445   -0.293   -0.155    0.121 1.002  1800
mu[153,2]            -0.298   0.215   -0.722   -0.445   -0.293   -0.155    0.121 1.002  1800
mu[154,2]            -0.298   0.215   -0.722   -0.445   -0.293   -0.155    0.121 1.002  1800
mu[155,2]            -0.298   0.215   -0.722   -0.445   -0.293   -0.155    0.121 1.002  1800
mu[156,2]            -0.298   0.215   -0.722   -0.445   -0.293   -0.155    0.121 1.002  1800
mu[157,2]            -0.298   0.215   -0.722   -0.445   -0.293   -0.155    0.121 1.002  1800
mu[158,2]            -0.298   0.215   -0.722   -0.445   -0.293   -0.155    0.121 1.002  1800
mu[159,2]            -0.298   0.215   -0.722   -0.445   -0.293   -0.155    0.121 1.002  1800
mu[160,2]            -0.208   0.214   -0.625   -0.352   -0.208   -0.067    0.217 1.002  2500
mu[161,2]            -0.545   0.210   -0.959   -0.685   -0.546   -0.406   -0.138 1.001  4000
mu[162,2]            -0.487   0.224   -0.925   -0.638   -0.488   -0.334   -0.052 1.001  4000
mu[163,2]            -0.208   0.214   -0.625   -0.352   -0.208   -0.067    0.217 1.002  2500
mu[164,2]            -0.545   0.210   -0.959   -0.685   -0.546   -0.406   -0.138 1.001  4000
mu[165,2]            -0.445   0.162   -0.770   -0.553   -0.447   -0.332   -0.135 1.001  4000
mu[166,2]            -0.208   0.214   -0.625   -0.352   -0.208   -0.067    0.217 1.002  2500
mu[167,2]            -0.487   0.224   -0.925   -0.638   -0.488   -0.334   -0.052 1.001  4000
mu[168,2]            -0.545   0.210   -0.959   -0.685   -0.546   -0.406   -0.138 1.001  4000
mu[169,2]            -0.445   0.162   -0.770   -0.553   -0.447   -0.332   -0.135 1.001  4000
mu[170,2]            -0.445   0.162   -0.770   -0.553   -0.447   -0.332   -0.135 1.001  4000
mu[171,2]            -0.545   0.210   -0.959   -0.685   -0.546   -0.406   -0.138 1.001  4000
mu[172,2]            -0.545   0.210   -0.959   -0.685   -0.546   -0.406   -0.138 1.001  4000
mu[173,2]            -0.445   0.162   -0.770   -0.553   -0.447   -0.332   -0.135 1.001  4000
mu[174,2]            -0.487   0.224   -0.925   -0.638   -0.488   -0.334   -0.052 1.001  4000
mu[175,2]            -0.208   0.214   -0.625   -0.352   -0.208   -0.067    0.217 1.002  2500
mu[176,2]            -0.487   0.224   -0.925   -0.638   -0.488   -0.334   -0.052 1.001  4000
mu[177,2]            -0.445   0.162   -0.770   -0.553   -0.447   -0.332   -0.135 1.001  4000
mu[178,2]            -0.445   0.162   -0.770   -0.553   -0.447   -0.332   -0.135 1.001  4000
mu[179,2]            -0.208   0.214   -0.625   -0.352   -0.208   -0.067    0.217 1.002  2500
mu[180,2]            -0.445   0.162   -0.770   -0.553   -0.447   -0.332   -0.135 1.001  4000
mu[181,2]            -0.445   0.162   -0.770   -0.553   -0.447   -0.332   -0.135 1.001  4000
mu[182,2]            -0.487   0.224   -0.925   -0.638   -0.488   -0.334   -0.052 1.001  4000
mu[183,2]            -0.545   0.210   -0.959   -0.685   -0.546   -0.406   -0.138 1.001  4000
mu[184,2]            -0.487   0.224   -0.925   -0.638   -0.488   -0.334   -0.052 1.001  4000
mu[185,2]            -0.545   0.210   -0.959   -0.685   -0.546   -0.406   -0.138 1.001  4000
mu[186,2]            -0.487   0.224   -0.925   -0.638   -0.488   -0.334   -0.052 1.001  4000
mu[187,2]            -0.208   0.214   -0.625   -0.352   -0.208   -0.067    0.217 1.002  2500
mu[188,2]            -0.487   0.224   -0.925   -0.638   -0.488   -0.334   -0.052 1.001  4000
mu[189,2]            -0.545   0.210   -0.959   -0.685   -0.546   -0.406   -0.138 1.001  4000
mu[190,2]            -0.325   0.222   -0.754   -0.476   -0.324   -0.173    0.114 1.002  1800
mu[191,2]            -0.325   0.222   -0.754   -0.476   -0.324   -0.173    0.114 1.002  1800
mu[192,2]            -0.325   0.222   -0.754   -0.476   -0.324   -0.173    0.114 1.002  1800
mu[193,2]            -0.325   0.222   -0.754   -0.476   -0.324   -0.173    0.114 1.002  1800
mu[194,2]            -0.325   0.222   -0.754   -0.476   -0.324   -0.173    0.114 1.002  1800
mu[195,2]            -0.325   0.222   -0.754   -0.476   -0.324   -0.173    0.114 1.002  1800
mu[196,2]            -0.325   0.222   -0.754   -0.476   -0.324   -0.173    0.114 1.002  1800
mu[197,2]            -0.325   0.222   -0.754   -0.476   -0.324   -0.173    0.114 1.002  1800
mu[198,2]            -0.393   0.222   -0.826   -0.540   -0.389   -0.241    0.037 1.001  4000
mu[199,2]            -0.393   0.222   -0.826   -0.540   -0.389   -0.241    0.037 1.001  4000
mu[200,2]            -0.393   0.222   -0.826   -0.540   -0.389   -0.241    0.037 1.001  4000
mu[201,2]            -0.393   0.222   -0.826   -0.540   -0.389   -0.241    0.037 1.001  4000
mu[202,2]            -0.393   0.222   -0.826   -0.540   -0.389   -0.241    0.037 1.001  4000
mu[203,2]            -0.393   0.222   -0.826   -0.540   -0.389   -0.241    0.037 1.001  4000
mu[204,2]            -0.393   0.222   -0.826   -0.540   -0.389   -0.241    0.037 1.001  4000
mu[205,2]            -0.393   0.222   -0.826   -0.540   -0.389   -0.241    0.037 1.001  4000
mu[206,2]            -0.397   0.138   -0.663   -0.491   -0.397   -0.302   -0.132 1.001  4000
mu[207,2]            -0.397   0.138   -0.663   -0.491   -0.397   -0.302   -0.132 1.001  4000
mu[208,2]            -0.305   0.216   -0.717   -0.454   -0.305   -0.160    0.126 1.001  4000
mu[209,2]            -0.305   0.216   -0.717   -0.454   -0.305   -0.160    0.126 1.001  4000
mu[210,2]            -0.305   0.216   -0.717   -0.454   -0.305   -0.160    0.126 1.001  4000
mu[211,2]            -0.397   0.138   -0.663   -0.491   -0.397   -0.302   -0.132 1.001  4000
mu[212,2]            -0.397   0.138   -0.663   -0.491   -0.397   -0.302   -0.132 1.001  4000
mu[213,2]            -0.385   0.166   -0.716   -0.496   -0.385   -0.270   -0.064 1.001  3500
mu[214,2]            -0.305   0.216   -0.717   -0.454   -0.305   -0.160    0.126 1.001  4000
mu[215,2]            -0.305   0.216   -0.717   -0.454   -0.305   -0.160    0.126 1.001  4000
mu[216,2]            -0.397   0.138   -0.663   -0.491   -0.397   -0.302   -0.132 1.001  4000
mu[217,2]            -0.417   0.144   -0.703   -0.514   -0.419   -0.319   -0.129 1.001  4000
mu[218,2]            -0.417   0.144   -0.703   -0.514   -0.419   -0.319   -0.129 1.001  4000
mu[219,2]            -0.385   0.166   -0.716   -0.496   -0.385   -0.270   -0.064 1.001  3500
mu[220,2]            -0.417   0.144   -0.703   -0.514   -0.419   -0.319   -0.129 1.001  4000
mu[221,2]            -0.417   0.144   -0.703   -0.514   -0.419   -0.319   -0.129 1.001  4000
mu[222,2]            -0.305   0.216   -0.717   -0.454   -0.305   -0.160    0.126 1.001  4000
mu[223,2]            -0.305   0.216   -0.717   -0.454   -0.305   -0.160    0.126 1.001  4000
mu[224,2]            -0.385   0.166   -0.716   -0.496   -0.385   -0.270   -0.064 1.001  3500
mu[225,2]            -0.397   0.138   -0.663   -0.491   -0.397   -0.302   -0.132 1.001  4000
mu[226,2]            -0.385   0.166   -0.716   -0.496   -0.385   -0.270   -0.064 1.001  3500
mu[227,2]            -0.417   0.144   -0.703   -0.514   -0.419   -0.319   -0.129 1.001  4000
mu[228,2]            -0.385   0.166   -0.716   -0.496   -0.385   -0.270   -0.064 1.001  3500
mu[229,2]            -0.385   0.166   -0.716   -0.496   -0.385   -0.270   -0.064 1.001  3500
mu[230,2]            -0.385   0.166   -0.716   -0.496   -0.385   -0.270   -0.064 1.001  3500
mu[231,2]            -0.397   0.138   -0.663   -0.491   -0.397   -0.302   -0.132 1.001  4000
mu[232,2]            -0.305   0.216   -0.717   -0.454   -0.305   -0.160    0.126 1.001  4000
mu[233,2]            -0.397   0.138   -0.663   -0.491   -0.397   -0.302   -0.132 1.001  4000
mu[234,2]            -0.417   0.144   -0.703   -0.514   -0.419   -0.319   -0.129 1.001  4000
mu[235,2]            -0.417   0.144   -0.703   -0.514   -0.419   -0.319   -0.129 1.001  4000
mu[236,2]            -0.385   0.166   -0.716   -0.496   -0.385   -0.270   -0.064 1.001  3500
mu[237,2]            -0.417   0.144   -0.703   -0.514   -0.419   -0.319   -0.129 1.001  4000
mu[238,2]            -0.331   0.192   -0.714   -0.460   -0.328   -0.201    0.035 1.000  4000
mu[239,2]            -0.331   0.192   -0.714   -0.460   -0.328   -0.201    0.035 1.000  4000
mu[240,2]            -0.331   0.192   -0.714   -0.460   -0.328   -0.201    0.035 1.000  4000
mu[241,2]            -0.331   0.192   -0.714   -0.460   -0.328   -0.201    0.035 1.000  4000
mu[242,2]            -0.331   0.192   -0.714   -0.460   -0.328   -0.201    0.035 1.000  4000
mu[243,2]            -0.331   0.192   -0.714   -0.460   -0.328   -0.201    0.035 1.000  4000
mu[244,2]            -0.331   0.192   -0.714   -0.460   -0.328   -0.201    0.035 1.000  4000
mu[245,2]            -0.331   0.192   -0.714   -0.460   -0.328   -0.201    0.035 1.000  4000
mu[246,2]            -0.285   0.135   -0.545   -0.374   -0.287   -0.194   -0.013 1.001  2800
mu[247,2]            -0.285   0.135   -0.545   -0.374   -0.287   -0.194   -0.013 1.001  2800
mu[248,2]            -0.285   0.135   -0.545   -0.374   -0.287   -0.194   -0.013 1.001  2800
mu[249,2]            -0.285   0.135   -0.545   -0.374   -0.287   -0.194   -0.013 1.001  2800
mu[250,2]            -0.285   0.135   -0.545   -0.374   -0.287   -0.194   -0.013 1.001  2800
mu[251,2]            -0.285   0.135   -0.545   -0.374   -0.287   -0.194   -0.013 1.001  2800
mu[252,2]            -0.285   0.135   -0.545   -0.374   -0.287   -0.194   -0.013 1.001  2800
mu[253,2]            -0.285   0.135   -0.545   -0.374   -0.287   -0.194   -0.013 1.001  2800
mu[254,2]            -0.408   0.147   -0.703   -0.505   -0.408   -0.306   -0.126 1.000  4000
mu[255,2]            -0.099   0.202   -0.489   -0.234   -0.099    0.042    0.297 1.001  4000
mu[256,2]            -0.099   0.202   -0.489   -0.234   -0.099    0.042    0.297 1.001  4000
mu[257,2]            -0.408   0.147   -0.703   -0.505   -0.408   -0.306   -0.126 1.000  4000
mu[258,2]            -0.408   0.147   -0.703   -0.505   -0.408   -0.306   -0.126 1.000  4000
mu[259,2]            -0.408   0.147   -0.703   -0.505   -0.408   -0.306   -0.126 1.000  4000
mu[260,2]            -0.408   0.147   -0.703   -0.505   -0.408   -0.306   -0.126 1.000  4000
mu[261,2]            -0.099   0.202   -0.489   -0.234   -0.099    0.042    0.297 1.001  4000
mu[262,2]            -0.099   0.202   -0.489   -0.234   -0.099    0.042    0.297 1.001  4000
mu[263,2]            -0.099   0.202   -0.489   -0.234   -0.099    0.042    0.297 1.001  4000
mu[264,2]            -0.099   0.202   -0.489   -0.234   -0.099    0.042    0.297 1.001  4000
mu[265,2]            -0.408   0.147   -0.703   -0.505   -0.408   -0.306   -0.126 1.000  4000
mu[266,2]            -0.099   0.202   -0.489   -0.234   -0.099    0.042    0.297 1.001  4000
mu[267,2]            -0.408   0.147   -0.703   -0.505   -0.408   -0.306   -0.126 1.000  4000
mu[268,2]            -0.408   0.147   -0.703   -0.505   -0.408   -0.306   -0.126 1.000  4000
mu[269,2]            -0.099   0.202   -0.489   -0.234   -0.099    0.042    0.297 1.001  4000
mu[270,2]            -0.051   0.270   -0.577   -0.236   -0.049    0.123    0.502 1.001  2700
mu[271,2]            -0.051   0.270   -0.577   -0.236   -0.049    0.123    0.502 1.001  2700
mu[272,2]            -0.051   0.270   -0.577   -0.236   -0.049    0.123    0.502 1.001  2700
mu[273,2]            -0.051   0.270   -0.577   -0.236   -0.049    0.123    0.502 1.001  2700
mu[274,2]            -0.463   0.160   -0.774   -0.570   -0.465   -0.356   -0.145 1.000  4000
mu[275,2]            -0.463   0.160   -0.774   -0.570   -0.465   -0.356   -0.145 1.000  4000
mu[276,2]            -0.266   0.232   -0.712   -0.422   -0.265   -0.113    0.198 1.001  4000
mu[277,2]            -0.463   0.160   -0.774   -0.570   -0.465   -0.356   -0.145 1.000  4000
mu[278,2]            -0.463   0.160   -0.774   -0.570   -0.465   -0.356   -0.145 1.000  4000
mu[279,2]            -0.266   0.232   -0.712   -0.422   -0.265   -0.113    0.198 1.001  4000
mu[280,2]            -0.266   0.232   -0.712   -0.422   -0.265   -0.113    0.198 1.001  4000
mu[281,2]            -0.337   0.190   -0.697   -0.469   -0.340   -0.207    0.045 1.001  4000
mu[282,2]            -0.266   0.232   -0.712   -0.422   -0.265   -0.113    0.198 1.001  4000
mu[283,2]            -0.266   0.232   -0.712   -0.422   -0.265   -0.113    0.198 1.001  4000
mu[284,2]            -0.463   0.160   -0.774   -0.570   -0.465   -0.356   -0.145 1.000  4000
mu[285,2]            -0.337   0.190   -0.697   -0.469   -0.340   -0.207    0.045 1.001  4000
mu[286,2]            -0.463   0.160   -0.774   -0.570   -0.465   -0.356   -0.145 1.000  4000
mu[287,2]            -0.463   0.160   -0.774   -0.570   -0.465   -0.356   -0.145 1.000  4000
mu[288,2]            -0.226   0.148   -0.519   -0.327   -0.225   -0.125    0.054 1.001  4000
mu[289,2]            -0.337   0.190   -0.697   -0.469   -0.340   -0.207    0.045 1.001  4000
mu[290,2]            -0.266   0.232   -0.712   -0.422   -0.265   -0.113    0.198 1.001  4000
mu[291,2]            -0.226   0.148   -0.519   -0.327   -0.225   -0.125    0.054 1.001  4000
mu[292,2]            -0.463   0.160   -0.774   -0.570   -0.465   -0.356   -0.145 1.000  4000
mu[293,2]            -0.337   0.190   -0.697   -0.469   -0.340   -0.207    0.045 1.001  4000
mu[294,2]            -0.337   0.190   -0.697   -0.469   -0.340   -0.207    0.045 1.001  4000
mu[295,2]            -0.226   0.148   -0.519   -0.327   -0.225   -0.125    0.054 1.001  4000
mu[296,2]            -0.226   0.148   -0.519   -0.327   -0.225   -0.125    0.054 1.001  4000
mu[297,2]            -0.266   0.232   -0.712   -0.422   -0.265   -0.113    0.198 1.001  4000
mu[298,2]            -0.226   0.148   -0.519   -0.327   -0.225   -0.125    0.054 1.001  4000
mu[299,2]            -0.337   0.190   -0.697   -0.469   -0.340   -0.207    0.045 1.001  4000
mu[300,2]            -0.337   0.190   -0.697   -0.469   -0.340   -0.207    0.045 1.001  4000
mu[301,2]            -0.266   0.232   -0.712   -0.422   -0.265   -0.113    0.198 1.001  4000
mu[302,2]            -0.354   0.182   -0.703   -0.478   -0.352   -0.232   -0.003 1.001  4000
mu[303,2]            -0.337   0.190   -0.697   -0.469   -0.340   -0.207    0.045 1.001  4000
mu[304,2]            -0.226   0.148   -0.519   -0.327   -0.225   -0.125    0.054 1.001  4000
mu[305,2]            -0.354   0.182   -0.703   -0.478   -0.352   -0.232   -0.003 1.001  4000
mu[306,2]            -0.226   0.148   -0.519   -0.327   -0.225   -0.125    0.054 1.001  4000
mu[307,2]            -0.354   0.182   -0.703   -0.478   -0.352   -0.232   -0.003 1.001  4000
mu[308,2]            -0.354   0.182   -0.703   -0.478   -0.352   -0.232   -0.003 1.001  4000
mu[309,2]            -0.226   0.148   -0.519   -0.327   -0.225   -0.125    0.054 1.001  4000
mu[310,2]            -0.354   0.182   -0.703   -0.478   -0.352   -0.232   -0.003 1.001  4000
mu[311,2]            -0.354   0.182   -0.703   -0.478   -0.352   -0.232   -0.003 1.001  4000
mu[312,2]            -0.354   0.182   -0.703   -0.478   -0.352   -0.232   -0.003 1.001  4000
mu[313,2]            -0.354   0.182   -0.703   -0.478   -0.352   -0.232   -0.003 1.001  4000
mu[314,2]             0.842   0.257    0.321    0.675    0.843    1.015    1.341 1.001  4000
mu[315,2]             0.842   0.257    0.321    0.675    0.843    1.015    1.341 1.001  4000
mu[316,2]             0.842   0.257    0.321    0.675    0.843    1.015    1.341 1.001  4000
mu[317,2]             0.842   0.257    0.321    0.675    0.843    1.015    1.341 1.001  4000
mu[318,2]            -0.276   0.175   -0.621   -0.391   -0.278   -0.157    0.068 1.001  2900
mu[319,2]            -0.276   0.175   -0.621   -0.391   -0.278   -0.157    0.068 1.001  2900
mu[320,2]            -0.276   0.175   -0.621   -0.391   -0.278   -0.157    0.068 1.001  2900
mu[321,2]            -0.276   0.175   -0.621   -0.391   -0.278   -0.157    0.068 1.001  2900
mu[322,2]            -0.276   0.175   -0.621   -0.391   -0.278   -0.157    0.068 1.001  2900
mu[323,2]            -0.276   0.175   -0.621   -0.391   -0.278   -0.157    0.068 1.001  2900
mu[324,2]            -0.276   0.175   -0.621   -0.391   -0.278   -0.157    0.068 1.001  2900
mu[325,2]            -0.276   0.175   -0.621   -0.391   -0.278   -0.157    0.068 1.001  2900
mu[326,2]            -0.205   0.168   -0.523   -0.318   -0.207   -0.094    0.130 1.001  3700
mu[327,2]            -0.438   0.191   -0.807   -0.569   -0.438   -0.307   -0.066 1.001  4000
mu[328,2]            -0.438   0.191   -0.807   -0.569   -0.438   -0.307   -0.066 1.001  4000
mu[329,2]            -0.205   0.168   -0.523   -0.318   -0.207   -0.094    0.130 1.001  3700
mu[330,2]            -0.438   0.191   -0.807   -0.569   -0.438   -0.307   -0.066 1.001  4000
mu[331,2]            -0.205   0.168   -0.523   -0.318   -0.207   -0.094    0.130 1.001  3700
mu[332,2]            -0.205   0.168   -0.523   -0.318   -0.207   -0.094    0.130 1.001  3700
mu[333,2]            -0.205   0.168   -0.523   -0.318   -0.207   -0.094    0.130 1.001  3700
mu[334,2]            -0.438   0.191   -0.807   -0.569   -0.438   -0.307   -0.066 1.001  4000
mu[335,2]            -0.205   0.168   -0.523   -0.318   -0.207   -0.094    0.130 1.001  3700
mu[336,2]            -0.205   0.168   -0.523   -0.318   -0.207   -0.094    0.130 1.001  3700
mu[337,2]            -0.438   0.191   -0.807   -0.569   -0.438   -0.307   -0.066 1.001  4000
mu[338,2]            -0.205   0.168   -0.523   -0.318   -0.207   -0.094    0.130 1.001  3700
mu[339,2]            -0.438   0.191   -0.807   -0.569   -0.438   -0.307   -0.066 1.001  4000
mu[340,2]            -0.438   0.191   -0.807   -0.569   -0.438   -0.307   -0.066 1.001  4000
mu[341,2]            -0.438   0.191   -0.807   -0.569   -0.438   -0.307   -0.066 1.001  4000
mu[342,2]            -0.398   0.172   -0.734   -0.512   -0.403   -0.280   -0.065 1.001  3800
mu[343,2]            -0.398   0.172   -0.734   -0.512   -0.403   -0.280   -0.065 1.001  3800
mu[344,2]            -0.398   0.172   -0.734   -0.512   -0.403   -0.280   -0.065 1.001  3800
mu[345,2]            -0.398   0.172   -0.734   -0.512   -0.403   -0.280   -0.065 1.001  3800
mu[346,2]            -0.398   0.172   -0.734   -0.512   -0.403   -0.280   -0.065 1.001  3800
mu[347,2]            -0.398   0.172   -0.734   -0.512   -0.403   -0.280   -0.065 1.001  3800
mu[348,2]            -0.398   0.172   -0.734   -0.512   -0.403   -0.280   -0.065 1.001  3800
mu[349,2]            -0.398   0.172   -0.734   -0.512   -0.403   -0.280   -0.065 1.001  3800
mu[350,2]            -0.268   0.217   -0.689   -0.414   -0.271   -0.122    0.146 1.001  3700
mu[351,2]            -0.268   0.217   -0.689   -0.414   -0.271   -0.122    0.146 1.001  3700
mu[352,2]            -0.268   0.217   -0.689   -0.414   -0.271   -0.122    0.146 1.001  3700
mu[353,2]            -0.268   0.217   -0.689   -0.414   -0.271   -0.122    0.146 1.001  3700
mu[354,2]            -0.268   0.217   -0.689   -0.414   -0.271   -0.122    0.146 1.001  3700
mu[355,2]            -0.268   0.217   -0.689   -0.414   -0.271   -0.122    0.146 1.001  3700
mu[356,2]            -0.268   0.217   -0.689   -0.414   -0.271   -0.122    0.146 1.001  3700
mu[357,2]            -0.268   0.217   -0.689   -0.414   -0.271   -0.122    0.146 1.001  3700
mu[358,2]            -0.381   0.248   -0.873   -0.546   -0.384   -0.215    0.103 1.001  4000
mu[359,2]            -0.381   0.248   -0.873   -0.546   -0.384   -0.215    0.103 1.001  4000
mu[360,2]            -0.381   0.248   -0.873   -0.546   -0.384   -0.215    0.103 1.001  4000
mu[361,2]            -0.381   0.248   -0.873   -0.546   -0.384   -0.215    0.103 1.001  4000
mu[362,2]            -0.381   0.248   -0.873   -0.546   -0.384   -0.215    0.103 1.001  4000
mu[363,2]            -0.381   0.248   -0.873   -0.546   -0.384   -0.215    0.103 1.001  4000
mu[364,2]            -0.381   0.248   -0.873   -0.546   -0.384   -0.215    0.103 1.001  4000
mu[365,2]            -0.381   0.248   -0.873   -0.546   -0.384   -0.215    0.103 1.001  4000
mu[366,2]             1.405   0.262    0.898    1.225    1.404    1.580    1.924 1.000  4000
mu[367,2]             1.405   0.262    0.898    1.225    1.404    1.580    1.924 1.000  4000
mu[368,2]             1.405   0.262    0.898    1.225    1.404    1.580    1.924 1.000  4000
mu[369,2]             1.405   0.262    0.898    1.225    1.404    1.580    1.924 1.000  4000
mu[370,2]            -0.370   0.150   -0.663   -0.470   -0.371   -0.265   -0.078 1.000  4000
mu[371,2]            -0.481   0.191   -0.838   -0.614   -0.481   -0.356   -0.098 1.001  4000
mu[372,2]            -0.370   0.150   -0.663   -0.470   -0.371   -0.265   -0.078 1.000  4000
mu[373,2]            -0.481   0.191   -0.838   -0.614   -0.481   -0.356   -0.098 1.001  4000
mu[374,2]            -0.481   0.191   -0.838   -0.614   -0.481   -0.356   -0.098 1.001  4000
mu[375,2]            -0.370   0.150   -0.663   -0.470   -0.371   -0.265   -0.078 1.000  4000
mu[376,2]            -0.370   0.150   -0.663   -0.470   -0.371   -0.265   -0.078 1.000  4000
mu[377,2]            -0.499   0.181   -0.850   -0.624   -0.500   -0.374   -0.144 1.001  4000
mu[378,2]            -0.499   0.181   -0.850   -0.624   -0.500   -0.374   -0.144 1.001  4000
mu[379,2]            -0.499   0.181   -0.850   -0.624   -0.500   -0.374   -0.144 1.001  4000
mu[380,2]            -0.481   0.191   -0.838   -0.614   -0.481   -0.356   -0.098 1.001  4000
mu[381,2]            -0.481   0.191   -0.838   -0.614   -0.481   -0.356   -0.098 1.001  4000
mu[382,2]            -0.370   0.150   -0.663   -0.470   -0.371   -0.265   -0.078 1.000  4000
mu[383,2]            -0.499   0.181   -0.850   -0.624   -0.500   -0.374   -0.144 1.001  4000
mu[384,2]            -0.481   0.191   -0.838   -0.614   -0.481   -0.356   -0.098 1.001  4000
mu[385,2]            -0.370   0.150   -0.663   -0.470   -0.371   -0.265   -0.078 1.000  4000
mu[386,2]            -0.370   0.150   -0.663   -0.470   -0.371   -0.265   -0.078 1.000  4000
mu[387,2]            -0.499   0.181   -0.850   -0.624   -0.500   -0.374   -0.144 1.001  4000
mu[388,2]            -0.370   0.150   -0.663   -0.470   -0.371   -0.265   -0.078 1.000  4000
mu[389,2]            -0.499   0.181   -0.850   -0.624   -0.500   -0.374   -0.144 1.001  4000
mu[390,2]            -0.499   0.181   -0.850   -0.624   -0.500   -0.374   -0.144 1.001  4000
mu[391,2]            -0.499   0.181   -0.850   -0.624   -0.500   -0.374   -0.144 1.001  4000
mu[392,2]             0.782   0.164    0.457    0.671    0.783    0.890    1.103 1.001  4000
mu[393,2]             0.529   0.215    0.116    0.382    0.527    0.674    0.949 1.001  3600
mu[394,2]             0.529   0.215    0.116    0.382    0.527    0.674    0.949 1.001  3600
mu[395,2]             0.782   0.164    0.457    0.671    0.783    0.890    1.103 1.001  4000
mu[396,2]             0.529   0.215    0.116    0.382    0.527    0.674    0.949 1.001  3600
mu[397,2]             0.782   0.164    0.457    0.671    0.783    0.890    1.103 1.001  4000
mu[398,2]             0.782   0.164    0.457    0.671    0.783    0.890    1.103 1.001  4000
mu[399,2]             0.529   0.215    0.116    0.382    0.527    0.674    0.949 1.001  3600
mu[400,2]             0.529   0.215    0.116    0.382    0.527    0.674    0.949 1.001  3600
mu[401,2]             0.782   0.164    0.457    0.671    0.783    0.890    1.103 1.001  4000
mu[402,2]             0.782   0.164    0.457    0.671    0.783    0.890    1.103 1.001  4000
mu[403,2]             0.782   0.164    0.457    0.671    0.783    0.890    1.103 1.001  4000
mu[404,2]             0.529   0.215    0.116    0.382    0.527    0.674    0.949 1.001  3600
mu[405,2]             0.529   0.215    0.116    0.382    0.527    0.674    0.949 1.001  3600
mu[406,2]             0.529   0.215    0.116    0.382    0.527    0.674    0.949 1.001  3600
mu[407,2]             0.782   0.164    0.457    0.671    0.783    0.890    1.103 1.001  4000
mu[408,2]            -0.367   0.228   -0.812   -0.520   -0.365   -0.217    0.088 1.001  4000
mu[409,2]            -0.367   0.228   -0.812   -0.520   -0.365   -0.217    0.088 1.001  4000
mu[410,2]            -0.317   0.143   -0.598   -0.412   -0.318   -0.223   -0.031 1.001  3900
mu[411,2]            -0.367   0.228   -0.812   -0.520   -0.365   -0.217    0.088 1.001  4000
mu[412,2]            -0.317   0.143   -0.598   -0.412   -0.318   -0.223   -0.031 1.001  3900
mu[413,2]            -0.367   0.228   -0.812   -0.520   -0.365   -0.217    0.088 1.001  4000
mu[414,2]            -0.317   0.143   -0.598   -0.412   -0.318   -0.223   -0.031 1.001  3900
mu[415,2]            -0.317   0.143   -0.598   -0.412   -0.318   -0.223   -0.031 1.001  3900
mu[416,2]            -0.367   0.228   -0.812   -0.520   -0.365   -0.217    0.088 1.001  4000
mu[417,2]            -0.317   0.143   -0.598   -0.412   -0.318   -0.223   -0.031 1.001  3900
mu[418,2]            -0.317   0.143   -0.598   -0.412   -0.318   -0.223   -0.031 1.001  3900
mu[419,2]            -0.367   0.228   -0.812   -0.520   -0.365   -0.217    0.088 1.001  4000
mu[420,2]            -0.367   0.228   -0.812   -0.520   -0.365   -0.217    0.088 1.001  4000
mu[421,2]            -0.317   0.143   -0.598   -0.412   -0.318   -0.223   -0.031 1.001  3900
mu[422,2]            -0.367   0.228   -0.812   -0.520   -0.365   -0.217    0.088 1.001  4000
mu[423,2]            -0.404   0.136   -0.673   -0.496   -0.406   -0.315   -0.133 1.001  3600
mu[424,2]            -0.404   0.136   -0.673   -0.496   -0.406   -0.315   -0.133 1.001  3600
mu[425,2]            -0.404   0.136   -0.673   -0.496   -0.406   -0.315   -0.133 1.001  3600
mu[426,2]            -0.404   0.136   -0.673   -0.496   -0.406   -0.315   -0.133 1.001  3600
mu[427,2]            -0.404   0.136   -0.673   -0.496   -0.406   -0.315   -0.133 1.001  3600
mu[428,2]            -0.404   0.136   -0.673   -0.496   -0.406   -0.315   -0.133 1.001  3600
mu[429,2]            -0.404   0.136   -0.673   -0.496   -0.406   -0.315   -0.133 1.001  3600
mu[430,2]            -0.404   0.136   -0.673   -0.496   -0.406   -0.315   -0.133 1.001  3600
mu[431,2]            -0.537   0.196   -0.934   -0.667   -0.538   -0.404   -0.148 1.002  1500
mu[432,2]            -0.537   0.196   -0.934   -0.667   -0.538   -0.404   -0.148 1.002  1500
mu[433,2]            -0.487   0.229   -0.953   -0.637   -0.486   -0.335   -0.047 1.001  4000
mu[434,2]            -0.537   0.196   -0.934   -0.667   -0.538   -0.404   -0.148 1.002  1500
mu[435,2]            -0.487   0.229   -0.953   -0.637   -0.486   -0.335   -0.047 1.001  4000
mu[436,2]            -0.487   0.229   -0.953   -0.637   -0.486   -0.335   -0.047 1.001  4000
mu[437,2]            -0.487   0.229   -0.953   -0.637   -0.486   -0.335   -0.047 1.001  4000
mu[438,2]            -0.537   0.196   -0.934   -0.667   -0.538   -0.404   -0.148 1.002  1500
mu[439,2]            -0.487   0.229   -0.953   -0.637   -0.486   -0.335   -0.047 1.001  4000
mu[440,2]            -0.508   0.176   -0.850   -0.627   -0.506   -0.389   -0.166 1.001  4000
mu[441,2]            -0.537   0.196   -0.934   -0.667   -0.538   -0.404   -0.148 1.002  1500
mu[442,2]            -0.487   0.229   -0.953   -0.637   -0.486   -0.335   -0.047 1.001  4000
mu[443,2]            -0.508   0.176   -0.850   -0.627   -0.506   -0.389   -0.166 1.001  4000
mu[444,2]            -0.537   0.196   -0.934   -0.667   -0.538   -0.404   -0.148 1.002  1500
mu[445,2]            -0.487   0.229   -0.953   -0.637   -0.486   -0.335   -0.047 1.001  4000
mu[446,2]            -0.508   0.176   -0.850   -0.627   -0.506   -0.389   -0.166 1.001  4000
mu[447,2]            -0.487   0.229   -0.953   -0.637   -0.486   -0.335   -0.047 1.001  4000
mu[448,2]            -0.508   0.176   -0.850   -0.627   -0.506   -0.389   -0.166 1.001  4000
mu[449,2]            -0.537   0.196   -0.934   -0.667   -0.538   -0.404   -0.148 1.002  1500
mu[450,2]            -0.508   0.176   -0.850   -0.627   -0.506   -0.389   -0.166 1.001  4000
mu[451,2]            -0.537   0.196   -0.934   -0.667   -0.538   -0.404   -0.148 1.002  1500
mu[452,2]            -0.508   0.176   -0.850   -0.627   -0.506   -0.389   -0.166 1.001  4000
mu[453,2]            -0.508   0.176   -0.850   -0.627   -0.506   -0.389   -0.166 1.001  4000
mu[454,2]            -0.508   0.176   -0.850   -0.627   -0.506   -0.389   -0.166 1.001  4000
mu[455,2]             1.503   0.205    1.119    1.359    1.504    1.644    1.900 1.001  3900
mu[456,2]             0.174   0.217   -0.261    0.028    0.174    0.321    0.604 1.001  2900
mu[457,2]             0.174   0.217   -0.261    0.028    0.174    0.321    0.604 1.001  2900
mu[458,2]             0.174   0.217   -0.261    0.028    0.174    0.321    0.604 1.001  2900
mu[459,2]             1.503   0.205    1.119    1.359    1.504    1.644    1.900 1.001  3900
mu[460,2]             1.503   0.205    1.119    1.359    1.504    1.644    1.900 1.001  3900
mu[461,2]             1.503   0.205    1.119    1.359    1.504    1.644    1.900 1.001  3900
mu[462,2]             1.503   0.205    1.119    1.359    1.504    1.644    1.900 1.001  3900
mu[463,2]             1.503   0.205    1.119    1.359    1.504    1.644    1.900 1.001  3900
mu[464,2]             1.503   0.205    1.119    1.359    1.504    1.644    1.900 1.001  3900
mu[465,2]             1.503   0.205    1.119    1.359    1.504    1.644    1.900 1.001  3900
mu[466,2]            -0.170   0.213   -0.580   -0.317   -0.168   -0.026    0.241 1.001  4000
mu[467,2]            -0.170   0.213   -0.580   -0.317   -0.168   -0.026    0.241 1.001  4000
mu[468,2]            -0.170   0.213   -0.580   -0.317   -0.168   -0.026    0.241 1.001  4000
mu[469,2]            -0.170   0.213   -0.580   -0.317   -0.168   -0.026    0.241 1.001  4000
mu[470,2]            -0.170   0.213   -0.580   -0.317   -0.168   -0.026    0.241 1.001  4000
mu[471,2]            -0.170   0.213   -0.580   -0.317   -0.168   -0.026    0.241 1.001  4000
mu[472,2]            -0.170   0.213   -0.580   -0.317   -0.168   -0.026    0.241 1.001  4000
mu[473,2]            -0.170   0.213   -0.580   -0.317   -0.168   -0.026    0.241 1.001  4000
mu[474,2]            -1.014   0.228   -1.457   -1.168   -1.015   -0.861   -0.573 1.001  4000
mu[475,2]            -1.014   0.228   -1.457   -1.168   -1.015   -0.861   -0.573 1.001  4000
mu[476,2]            -1.014   0.228   -1.457   -1.168   -1.015   -0.861   -0.573 1.001  4000
mu[477,2]            -1.014   0.228   -1.457   -1.168   -1.015   -0.861   -0.573 1.001  4000
mu[478,2]            -0.058   0.146   -0.338   -0.158   -0.061    0.039    0.229 1.001  4000
mu[479,2]            -0.058   0.146   -0.338   -0.158   -0.061    0.039    0.229 1.001  4000
mu[480,2]            -0.197   0.215   -0.613   -0.345   -0.196   -0.058    0.226 1.000  4000
mu[481,2]            -0.197   0.215   -0.613   -0.345   -0.196   -0.058    0.226 1.000  4000
mu[482,2]            -0.197   0.215   -0.613   -0.345   -0.196   -0.058    0.226 1.000  4000
mu[483,2]            -0.078   0.145   -0.353   -0.174   -0.079    0.022    0.212 1.001  4000
mu[484,2]            -0.078   0.145   -0.353   -0.174   -0.079    0.022    0.212 1.001  4000
mu[485,2]            -0.197   0.215   -0.613   -0.345   -0.196   -0.058    0.226 1.000  4000
mu[486,2]            -0.197   0.215   -0.613   -0.345   -0.196   -0.058    0.226 1.000  4000
mu[487,2]            -0.197   0.215   -0.613   -0.345   -0.196   -0.058    0.226 1.000  4000
mu[488,2]            -0.078   0.145   -0.353   -0.174   -0.079    0.022    0.212 1.001  4000
mu[489,2]            -0.141   0.225   -0.588   -0.292   -0.136    0.011    0.300 1.001  4000
mu[490,2]            -0.197   0.215   -0.613   -0.345   -0.196   -0.058    0.226 1.000  4000
mu[491,2]            -0.058   0.146   -0.338   -0.158   -0.061    0.039    0.229 1.001  4000
mu[492,2]            -0.078   0.145   -0.353   -0.174   -0.079    0.022    0.212 1.001  4000
mu[493,2]            -0.197   0.215   -0.613   -0.345   -0.196   -0.058    0.226 1.000  4000
mu[494,2]            -0.141   0.225   -0.588   -0.292   -0.136    0.011    0.300 1.001  4000
mu[495,2]            -0.058   0.146   -0.338   -0.158   -0.061    0.039    0.229 1.001  4000
mu[496,2]            -0.058   0.146   -0.338   -0.158   -0.061    0.039    0.229 1.001  4000
mu[497,2]            -0.141   0.225   -0.588   -0.292   -0.136    0.011    0.300 1.001  4000
mu[498,2]            -0.141   0.225   -0.588   -0.292   -0.136    0.011    0.300 1.001  4000
mu[499,2]            -0.058   0.146   -0.338   -0.158   -0.061    0.039    0.229 1.001  4000
mu[500,2]            -0.141   0.225   -0.588   -0.292   -0.136    0.011    0.300 1.001  4000
mu[501,2]            -0.078   0.145   -0.353   -0.174   -0.079    0.022    0.212 1.001  4000
mu[502,2]            -0.058   0.146   -0.338   -0.158   -0.061    0.039    0.229 1.001  4000
mu[503,2]            -0.141   0.225   -0.588   -0.292   -0.136    0.011    0.300 1.001  4000
mu[504,2]            -0.141   0.225   -0.588   -0.292   -0.136    0.011    0.300 1.001  4000
mu[505,2]            -0.078   0.145   -0.353   -0.174   -0.079    0.022    0.212 1.001  4000
mu[506,2]            -0.078   0.145   -0.353   -0.174   -0.079    0.022    0.212 1.001  4000
mu[507,2]            -0.078   0.145   -0.353   -0.174   -0.079    0.022    0.212 1.001  4000
mu[508,2]            -0.141   0.225   -0.588   -0.292   -0.136    0.011    0.300 1.001  4000
mu[509,2]            -0.058   0.146   -0.338   -0.158   -0.061    0.039    0.229 1.001  4000
mu[510,2]             1.851   0.212    1.438    1.706    1.851    1.993    2.268 1.001  4000
mu[511,2]             1.851   0.212    1.438    1.706    1.851    1.993    2.268 1.001  4000
mu[512,2]             1.851   0.212    1.438    1.706    1.851    1.993    2.268 1.001  4000
mu[513,2]             1.851   0.212    1.438    1.706    1.851    1.993    2.268 1.001  4000
mu[514,2]             1.108   0.177    0.772    0.988    1.113    1.228    1.448 1.001  4000
mu[515,2]             1.108   0.177    0.772    0.988    1.113    1.228    1.448 1.001  4000
mu[516,2]             1.896   0.169    1.564    1.784    1.894    2.011    2.229 1.000  4000
mu[517,2]             1.108   0.177    0.772    0.988    1.113    1.228    1.448 1.001  4000
mu[518,2]             1.896   0.169    1.564    1.784    1.894    2.011    2.229 1.000  4000
mu[519,2]             1.896   0.169    1.564    1.784    1.894    2.011    2.229 1.000  4000
mu[520,2]             1.896   0.169    1.564    1.784    1.894    2.011    2.229 1.000  4000
mu[521,2]             0.331   0.184   -0.034    0.209    0.330    0.455    0.678 1.001  3800
mu[522,2]             0.331   0.184   -0.034    0.209    0.330    0.455    0.678 1.001  3800
mu[523,2]             0.331   0.184   -0.034    0.209    0.330    0.455    0.678 1.001  3800
mu[524,2]             0.331   0.184   -0.034    0.209    0.330    0.455    0.678 1.001  3800
mu[525,2]             0.331   0.184   -0.034    0.209    0.330    0.455    0.678 1.001  3800
mu[526,2]             0.331   0.184   -0.034    0.209    0.330    0.455    0.678 1.001  3800
mu[527,2]             0.331   0.184   -0.034    0.209    0.330    0.455    0.678 1.001  3800
mu[528,2]             0.331   0.184   -0.034    0.209    0.330    0.455    0.678 1.001  3800
mu[529,2]             2.215   0.185    1.848    2.093    2.216    2.337    2.571 1.001  3200
mu[530,2]             2.215   0.185    1.848    2.093    2.216    2.337    2.571 1.001  3200
mu[531,2]             2.215   0.185    1.848    2.093    2.216    2.337    2.571 1.001  3200
mu[532,2]             2.215   0.185    1.848    2.093    2.216    2.337    2.571 1.001  3200
mu[533,2]             2.215   0.185    1.848    2.093    2.216    2.337    2.571 1.001  3200
mu[534,2]             2.215   0.185    1.848    2.093    2.216    2.337    2.571 1.001  3200
mu[535,2]             2.215   0.185    1.848    2.093    2.216    2.337    2.571 1.001  3200
mu[536,2]             2.215   0.185    1.848    2.093    2.216    2.337    2.571 1.001  3200
mu[537,2]            -0.338   0.202   -0.727   -0.475   -0.335   -0.202    0.057 1.001  4000
mu[538,2]            -0.338   0.202   -0.727   -0.475   -0.335   -0.202    0.057 1.001  4000
mu[539,2]            -0.338   0.202   -0.727   -0.475   -0.335   -0.202    0.057 1.001  4000
mu[540,2]            -0.338   0.202   -0.727   -0.475   -0.335   -0.202    0.057 1.001  4000
mu[541,2]            -0.338   0.202   -0.727   -0.475   -0.335   -0.202    0.057 1.001  4000
mu[542,2]            -0.338   0.202   -0.727   -0.475   -0.335   -0.202    0.057 1.001  4000
mu[543,2]            -0.338   0.202   -0.727   -0.475   -0.335   -0.202    0.057 1.001  4000
mu[544,2]            -0.338   0.202   -0.727   -0.475   -0.335   -0.202    0.057 1.001  4000
mu[545,2]            -0.240   0.261   -0.744   -0.416   -0.242   -0.064    0.284 1.001  4000
mu[546,2]            -0.240   0.261   -0.744   -0.416   -0.242   -0.064    0.284 1.001  4000
mu[547,2]            -0.240   0.261   -0.744   -0.416   -0.242   -0.064    0.284 1.001  4000
mu[548,2]            -0.240   0.261   -0.744   -0.416   -0.242   -0.064    0.284 1.001  4000
mu[549,2]            -0.240   0.261   -0.744   -0.416   -0.242   -0.064    0.284 1.001  4000
mu[550,2]            -0.240   0.261   -0.744   -0.416   -0.242   -0.064    0.284 1.001  4000
mu[551,2]            -0.580   0.209   -0.988   -0.722   -0.578   -0.436   -0.172 1.001  4000
mu[552,2]            -0.580   0.209   -0.988   -0.722   -0.578   -0.436   -0.172 1.001  4000
mu[553,2]            -0.580   0.209   -0.988   -0.722   -0.578   -0.436   -0.172 1.001  4000
mu[554,2]            -0.580   0.209   -0.988   -0.722   -0.578   -0.436   -0.172 1.001  4000
mu[555,2]            -0.580   0.209   -0.988   -0.722   -0.578   -0.436   -0.172 1.001  4000
mu[556,2]            -0.580   0.209   -0.988   -0.722   -0.578   -0.436   -0.172 1.001  4000
mu[557,2]            -0.580   0.209   -0.988   -0.722   -0.578   -0.436   -0.172 1.001  4000
mu[558,2]            -0.580   0.209   -0.988   -0.722   -0.578   -0.436   -0.172 1.001  4000
mu[559,2]             0.953   0.179    0.612    0.832    0.954    1.071    1.302 1.001  4000
mu[560,2]            -0.546   0.227   -0.981   -0.704   -0.549   -0.389   -0.105 1.001  4000
mu[561,2]             0.953   0.179    0.612    0.832    0.954    1.071    1.302 1.001  4000
mu[562,2]             0.953   0.179    0.612    0.832    0.954    1.071    1.302 1.001  4000
mu[563,2]            -0.546   0.227   -0.981   -0.704   -0.549   -0.389   -0.105 1.001  4000
mu[564,2]             0.953   0.179    0.612    0.832    0.954    1.071    1.302 1.001  4000
mu[565,2]            -0.546   0.227   -0.981   -0.704   -0.549   -0.389   -0.105 1.001  4000
mu[566,2]            -0.546   0.227   -0.981   -0.704   -0.549   -0.389   -0.105 1.001  4000
mu[567,2]            -0.546   0.227   -0.981   -0.704   -0.549   -0.389   -0.105 1.001  4000
mu[568,2]             0.953   0.179    0.612    0.832    0.954    1.071    1.302 1.001  4000
mu[569,2]             0.953   0.179    0.612    0.832    0.954    1.071    1.302 1.001  4000
mu[570,2]             0.953   0.179    0.612    0.832    0.954    1.071    1.302 1.001  4000
mu[571,2]            -0.546   0.227   -0.981   -0.704   -0.549   -0.389   -0.105 1.001  4000
mu[572,2]            -0.546   0.227   -0.981   -0.704   -0.549   -0.389   -0.105 1.001  4000
mu[573,2]             0.953   0.179    0.612    0.832    0.954    1.071    1.302 1.001  4000
mu[574,2]            -0.546   0.227   -0.981   -0.704   -0.549   -0.389   -0.105 1.001  4000
mu[575,2]            -0.603   0.192   -0.987   -0.731   -0.602   -0.477   -0.230 1.001  4000
mu[576,2]            -0.603   0.192   -0.987   -0.731   -0.602   -0.477   -0.230 1.001  4000
mu[577,2]            -0.603   0.192   -0.987   -0.731   -0.602   -0.477   -0.230 1.001  4000
mu[578,2]            -0.603   0.192   -0.987   -0.731   -0.602   -0.477   -0.230 1.001  4000
mu[579,2]            -0.603   0.192   -0.987   -0.731   -0.602   -0.477   -0.230 1.001  4000
mu[580,2]            -0.603   0.192   -0.987   -0.731   -0.602   -0.477   -0.230 1.001  4000
mu[581,2]            -0.603   0.192   -0.987   -0.731   -0.602   -0.477   -0.230 1.001  4000
mu[582,2]            -0.603   0.192   -0.987   -0.731   -0.602   -0.477   -0.230 1.001  4000
mu[583,2]            -0.226   0.201   -0.606   -0.366   -0.231   -0.092    0.182 1.002  2200
mu[584,2]            -0.226   0.201   -0.606   -0.366   -0.231   -0.092    0.182 1.002  2200
mu[585,2]            -0.226   0.201   -0.606   -0.366   -0.231   -0.092    0.182 1.002  2200
mu[586,2]            -0.226   0.201   -0.606   -0.366   -0.231   -0.092    0.182 1.002  2200
mu[587,2]            -0.226   0.201   -0.606   -0.366   -0.231   -0.092    0.182 1.002  2200
mu[588,2]            -0.226   0.201   -0.606   -0.366   -0.231   -0.092    0.182 1.002  2200
mu[589,2]            -0.226   0.201   -0.606   -0.366   -0.231   -0.092    0.182 1.002  2200
mu[590,2]            -0.226   0.201   -0.606   -0.366   -0.231   -0.092    0.182 1.002  2200
mu[1,3]              -0.443   0.084   -0.609   -0.500   -0.442   -0.386   -0.281 1.001  4000
mu[2,3]              -0.443   0.084   -0.609   -0.500   -0.442   -0.386   -0.281 1.001  4000
mu[3,3]              -0.443   0.084   -0.609   -0.500   -0.442   -0.386   -0.281 1.001  4000
mu[4,3]              -0.443   0.084   -0.609   -0.500   -0.442   -0.386   -0.281 1.001  4000
mu[5,3]              -0.443   0.084   -0.609   -0.500   -0.442   -0.386   -0.281 1.001  4000
mu[6,3]              -0.443   0.084   -0.609   -0.500   -0.442   -0.386   -0.281 1.001  4000
mu[7,3]              -0.443   0.084   -0.609   -0.500   -0.442   -0.386   -0.281 1.001  4000
mu[8,3]              -0.443   0.084   -0.609   -0.500   -0.442   -0.386   -0.281 1.001  4000
mu[9,3]              -0.322   0.114   -0.548   -0.400   -0.321   -0.244   -0.100 1.002  2200
mu[10,3]             -0.322   0.114   -0.548   -0.400   -0.321   -0.244   -0.100 1.002  2200
mu[11,3]             -0.322   0.114   -0.548   -0.400   -0.321   -0.244   -0.100 1.002  2200
mu[12,3]             -0.322   0.114   -0.548   -0.400   -0.321   -0.244   -0.100 1.002  2200
mu[13,3]             -0.322   0.114   -0.548   -0.400   -0.321   -0.244   -0.100 1.002  2200
mu[14,3]             -0.322   0.114   -0.548   -0.400   -0.321   -0.244   -0.100 1.002  2200
mu[15,3]             -0.322   0.114   -0.548   -0.400   -0.321   -0.244   -0.100 1.002  2200
mu[16,3]             -0.322   0.114   -0.548   -0.400   -0.321   -0.244   -0.100 1.002  2200
mu[17,3]              0.083   0.096   -0.107    0.018    0.083    0.149    0.270 1.001  4000
mu[18,3]              0.083   0.096   -0.107    0.018    0.083    0.149    0.270 1.001  4000
mu[19,3]              0.083   0.096   -0.107    0.018    0.083    0.149    0.270 1.001  4000
mu[20,3]              0.083   0.096   -0.107    0.018    0.083    0.149    0.270 1.001  4000
mu[21,3]              0.083   0.096   -0.107    0.018    0.083    0.149    0.270 1.001  4000
mu[22,3]              0.083   0.096   -0.107    0.018    0.083    0.149    0.270 1.001  4000
mu[23,3]              0.083   0.096   -0.107    0.018    0.083    0.149    0.270 1.001  4000
mu[24,3]             -0.475   0.095   -0.663   -0.539   -0.477   -0.413   -0.291 1.002  2500
mu[25,3]             -0.475   0.095   -0.663   -0.539   -0.477   -0.413   -0.291 1.002  2500
mu[26,3]             -0.475   0.095   -0.663   -0.539   -0.477   -0.413   -0.291 1.002  2500
mu[27,3]             -0.475   0.095   -0.663   -0.539   -0.477   -0.413   -0.291 1.002  2500
mu[28,3]             -0.475   0.095   -0.663   -0.539   -0.477   -0.413   -0.291 1.002  2500
mu[29,3]             -0.475   0.095   -0.663   -0.539   -0.477   -0.413   -0.291 1.002  2500
mu[30,3]             -0.475   0.095   -0.663   -0.539   -0.477   -0.413   -0.291 1.002  2500
mu[31,3]             -0.475   0.095   -0.663   -0.539   -0.477   -0.413   -0.291 1.002  2500
mu[32,3]             -0.328   0.143   -0.615   -0.422   -0.324   -0.229   -0.063 1.001  3100
mu[33,3]             -0.373   0.130   -0.627   -0.460   -0.373   -0.286   -0.120 1.001  4000
mu[34,3]             -0.373   0.117   -0.604   -0.452   -0.374   -0.295   -0.146 1.002  2700
mu[35,3]             -0.328   0.143   -0.615   -0.422   -0.324   -0.229   -0.063 1.001  3100
mu[36,3]             -0.373   0.117   -0.604   -0.452   -0.374   -0.295   -0.146 1.002  2700
mu[37,3]             -0.373   0.130   -0.627   -0.460   -0.373   -0.286   -0.120 1.001  4000
mu[38,3]             -0.328   0.143   -0.615   -0.422   -0.324   -0.229   -0.063 1.001  3100
mu[39,3]             -0.328   0.143   -0.615   -0.422   -0.324   -0.229   -0.063 1.001  3100
mu[40,3]             -0.373   0.117   -0.604   -0.452   -0.374   -0.295   -0.146 1.002  2700
mu[41,3]             -0.373   0.130   -0.627   -0.460   -0.373   -0.286   -0.120 1.001  4000
mu[42,3]             -0.373   0.130   -0.627   -0.460   -0.373   -0.286   -0.120 1.001  4000
mu[43,3]             -0.373   0.130   -0.627   -0.460   -0.373   -0.286   -0.120 1.001  4000
mu[44,3]             -0.373   0.117   -0.604   -0.452   -0.374   -0.295   -0.146 1.002  2700
mu[45,3]             -0.373   0.117   -0.604   -0.452   -0.374   -0.295   -0.146 1.002  2700
mu[46,3]             -0.328   0.143   -0.615   -0.422   -0.324   -0.229   -0.063 1.001  3100
mu[47,3]             -0.373   0.117   -0.604   -0.452   -0.374   -0.295   -0.146 1.002  2700
mu[48,3]             -0.373   0.117   -0.604   -0.452   -0.374   -0.295   -0.146 1.002  2700
mu[49,3]             -0.373   0.130   -0.627   -0.460   -0.373   -0.286   -0.120 1.001  4000
mu[50,3]             -0.373   0.117   -0.604   -0.452   -0.374   -0.295   -0.146 1.002  2700
mu[51,3]             -0.105   0.112   -0.327   -0.182   -0.105   -0.030    0.113 1.001  3400
mu[52,3]             -0.473   0.095   -0.663   -0.537   -0.471   -0.408   -0.290 1.001  3400
mu[53,3]             -0.473   0.095   -0.663   -0.537   -0.471   -0.408   -0.290 1.001  3400
mu[54,3]             -0.473   0.095   -0.663   -0.537   -0.471   -0.408   -0.290 1.001  3400
mu[55,3]             -0.473   0.095   -0.663   -0.537   -0.471   -0.408   -0.290 1.001  3400
mu[56,3]             -0.105   0.112   -0.327   -0.182   -0.105   -0.030    0.113 1.001  3400
mu[57,3]             -0.473   0.095   -0.663   -0.537   -0.471   -0.408   -0.290 1.001  3400
mu[58,3]             -0.105   0.112   -0.327   -0.182   -0.105   -0.030    0.113 1.001  3400
mu[59,3]             -0.105   0.112   -0.327   -0.182   -0.105   -0.030    0.113 1.001  3400
mu[60,3]             -0.473   0.095   -0.663   -0.537   -0.471   -0.408   -0.290 1.001  3400
mu[61,3]             -0.105   0.112   -0.327   -0.182   -0.105   -0.030    0.113 1.001  3400
mu[62,3]             -0.105   0.112   -0.327   -0.182   -0.105   -0.030    0.113 1.001  3400
mu[63,3]             -0.473   0.095   -0.663   -0.537   -0.471   -0.408   -0.290 1.001  3400
mu[64,3]             -0.473   0.095   -0.663   -0.537   -0.471   -0.408   -0.290 1.001  3400
mu[65,3]              0.728   0.123    0.495    0.644    0.727    0.810    0.973 1.001  4000
mu[66,3]              0.728   0.123    0.495    0.644    0.727    0.810    0.973 1.001  4000
mu[67,3]              0.728   0.123    0.495    0.644    0.727    0.810    0.973 1.001  4000
mu[68,3]             -0.382   0.116   -0.609   -0.459   -0.383   -0.305   -0.149 1.001  4000
mu[69,3]             -0.382   0.116   -0.609   -0.459   -0.383   -0.305   -0.149 1.001  4000
mu[70,3]              0.728   0.123    0.495    0.644    0.727    0.810    0.973 1.001  4000
mu[71,3]             -0.382   0.116   -0.609   -0.459   -0.383   -0.305   -0.149 1.001  4000
mu[72,3]              0.728   0.123    0.495    0.644    0.727    0.810    0.973 1.001  4000
mu[73,3]              0.728   0.123    0.495    0.644    0.727    0.810    0.973 1.001  4000
mu[74,3]             -0.382   0.116   -0.609   -0.459   -0.383   -0.305   -0.149 1.001  4000
mu[75,3]             -0.382   0.116   -0.609   -0.459   -0.383   -0.305   -0.149 1.001  4000
mu[76,3]             -0.382   0.116   -0.609   -0.459   -0.383   -0.305   -0.149 1.001  4000
mu[77,3]             -0.382   0.116   -0.609   -0.459   -0.383   -0.305   -0.149 1.001  4000
mu[78,3]             -0.382   0.116   -0.609   -0.459   -0.383   -0.305   -0.149 1.001  4000
mu[79,3]              0.728   0.123    0.495    0.644    0.727    0.810    0.973 1.001  4000
mu[80,3]             -0.383   0.114   -0.603   -0.460   -0.383   -0.307   -0.158 1.001  3600
mu[81,3]             -0.383   0.114   -0.603   -0.460   -0.383   -0.307   -0.158 1.001  3600
mu[82,3]             -0.383   0.114   -0.603   -0.460   -0.383   -0.307   -0.158 1.001  3600
mu[83,3]             -0.383   0.114   -0.603   -0.460   -0.383   -0.307   -0.158 1.001  3600
mu[84,3]             -0.383   0.114   -0.603   -0.460   -0.383   -0.307   -0.158 1.001  3600
mu[85,3]             -0.383   0.114   -0.603   -0.460   -0.383   -0.307   -0.158 1.001  3600
mu[86,3]             -0.383   0.114   -0.603   -0.460   -0.383   -0.307   -0.158 1.001  3600
mu[87,3]             -0.383   0.114   -0.603   -0.460   -0.383   -0.307   -0.158 1.001  3600
mu[88,3]             -0.191   0.090   -0.362   -0.253   -0.193   -0.131   -0.014 1.002  2500
mu[89,3]             -0.191   0.090   -0.362   -0.253   -0.193   -0.131   -0.014 1.002  2500
mu[90,3]             -0.191   0.090   -0.362   -0.253   -0.193   -0.131   -0.014 1.002  2500
mu[91,3]             -0.191   0.090   -0.362   -0.253   -0.193   -0.131   -0.014 1.002  2500
mu[92,3]             -0.191   0.090   -0.362   -0.253   -0.193   -0.131   -0.014 1.002  2500
mu[93,3]             -0.191   0.090   -0.362   -0.253   -0.193   -0.131   -0.014 1.002  2500
mu[94,3]             -0.191   0.090   -0.362   -0.253   -0.193   -0.131   -0.014 1.002  2500
mu[95,3]             -0.191   0.090   -0.362   -0.253   -0.193   -0.131   -0.014 1.002  2500
mu[96,3]              0.742   0.117    0.513    0.664    0.741    0.822    0.970 1.001  3600
mu[97,3]              0.742   0.117    0.513    0.664    0.741    0.822    0.970 1.001  3600
mu[98,3]              0.742   0.117    0.513    0.664    0.741    0.822    0.970 1.001  3600
mu[99,3]              0.742   0.117    0.513    0.664    0.741    0.822    0.970 1.001  3600
mu[100,3]             0.742   0.117    0.513    0.664    0.741    0.822    0.970 1.001  3600
mu[101,3]             0.742   0.117    0.513    0.664    0.741    0.822    0.970 1.001  3600
mu[102,3]             0.742   0.117    0.513    0.664    0.741    0.822    0.970 1.001  3600
mu[103,3]             0.742   0.117    0.513    0.664    0.741    0.822    0.970 1.001  3600
mu[104,3]            -0.330   0.086   -0.496   -0.388   -0.331   -0.273   -0.165 1.001  3000
mu[105,3]            -0.330   0.086   -0.496   -0.388   -0.331   -0.273   -0.165 1.001  3000
mu[106,3]            -0.330   0.086   -0.496   -0.388   -0.331   -0.273   -0.165 1.001  3000
mu[107,3]            -0.330   0.086   -0.496   -0.388   -0.331   -0.273   -0.165 1.001  3000
mu[108,3]            -0.330   0.086   -0.496   -0.388   -0.331   -0.273   -0.165 1.001  3000
mu[109,3]            -0.330   0.086   -0.496   -0.388   -0.331   -0.273   -0.165 1.001  3000
mu[110,3]            -0.330   0.086   -0.496   -0.388   -0.331   -0.273   -0.165 1.001  3000
mu[111,3]            -0.330   0.086   -0.496   -0.388   -0.331   -0.273   -0.165 1.001  3000
mu[112,3]            -0.289   0.081   -0.448   -0.344   -0.289   -0.233   -0.133 1.001  4000
mu[113,3]            -0.046   0.073   -0.187   -0.095   -0.045    0.002    0.098 1.002  1800
mu[114,3]            -0.046   0.073   -0.187   -0.095   -0.045    0.002    0.098 1.002  1800
mu[115,3]            -0.364   0.066   -0.494   -0.410   -0.364   -0.318   -0.236 1.001  4000
mu[116,3]            -0.046   0.073   -0.187   -0.095   -0.045    0.002    0.098 1.002  1800
mu[117,3]            -0.046   0.073   -0.187   -0.095   -0.045    0.002    0.098 1.002  1800
mu[118,3]            -0.364   0.066   -0.494   -0.410   -0.364   -0.318   -0.236 1.001  4000
mu[119,3]            -0.289   0.081   -0.448   -0.344   -0.289   -0.233   -0.133 1.001  4000
mu[120,3]            -0.046   0.073   -0.187   -0.095   -0.045    0.002    0.098 1.002  1800
mu[121,3]            -0.289   0.081   -0.448   -0.344   -0.289   -0.233   -0.133 1.001  4000
mu[122,3]            -0.364   0.066   -0.494   -0.410   -0.364   -0.318   -0.236 1.001  4000
mu[123,3]            -0.289   0.081   -0.448   -0.344   -0.289   -0.233   -0.133 1.001  4000
mu[124,3]            -0.364   0.066   -0.494   -0.410   -0.364   -0.318   -0.236 1.001  4000
mu[125,3]            -0.309   0.078   -0.463   -0.362   -0.309   -0.257   -0.157 1.002  2000
mu[126,3]            -0.364   0.066   -0.494   -0.410   -0.364   -0.318   -0.236 1.001  4000
mu[127,3]            -0.289   0.081   -0.448   -0.344   -0.289   -0.233   -0.133 1.001  4000
mu[128,3]            -0.046   0.073   -0.187   -0.095   -0.045    0.002    0.098 1.002  1800
mu[129,3]             3.417   0.067    3.284    3.371    3.417    3.461    3.550 1.001  4000
mu[130,3]            -0.046   0.073   -0.187   -0.095   -0.045    0.002    0.098 1.002  1800
mu[131,3]            -0.364   0.066   -0.494   -0.410   -0.364   -0.318   -0.236 1.001  4000
mu[132,3]            -0.289   0.081   -0.448   -0.344   -0.289   -0.233   -0.133 1.001  4000
mu[133,3]            -0.364   0.066   -0.494   -0.410   -0.364   -0.318   -0.236 1.001  4000
mu[134,3]            -0.289   0.081   -0.448   -0.344   -0.289   -0.233   -0.133 1.001  4000
mu[135,3]            -0.364   0.066   -0.494   -0.410   -0.364   -0.318   -0.236 1.001  4000
mu[136,3]             3.417   0.067    3.284    3.371    3.417    3.461    3.550 1.001  4000
mu[137,3]             3.417   0.067    3.284    3.371    3.417    3.461    3.550 1.001  4000
mu[138,3]            -0.289   0.081   -0.448   -0.344   -0.289   -0.233   -0.133 1.001  4000
mu[139,3]            -0.046   0.073   -0.187   -0.095   -0.045    0.002    0.098 1.002  1800
mu[140,3]             3.417   0.067    3.284    3.371    3.417    3.461    3.550 1.001  4000
mu[141,3]            -0.330   0.072   -0.472   -0.378   -0.331   -0.282   -0.186 1.001  4000
mu[142,3]            -0.330   0.072   -0.472   -0.378   -0.331   -0.282   -0.186 1.001  4000
mu[143,3]            -0.330   0.072   -0.472   -0.378   -0.331   -0.282   -0.186 1.001  4000
mu[144,3]            -0.127   0.101   -0.318   -0.195   -0.128   -0.059    0.070 1.001  4000
mu[145,3]            -0.348   0.097   -0.542   -0.412   -0.348   -0.284   -0.161 1.001  4000
mu[146,3]            -0.329   0.071   -0.470   -0.376   -0.329   -0.280   -0.196 1.001  4000
mu[147,3]            -0.348   0.097   -0.542   -0.412   -0.348   -0.284   -0.161 1.001  4000
mu[148,3]            -0.329   0.071   -0.470   -0.376   -0.329   -0.280   -0.196 1.001  4000
mu[149,3]            -0.348   0.097   -0.542   -0.412   -0.348   -0.284   -0.161 1.001  4000
mu[150,3]            -0.329   0.071   -0.470   -0.376   -0.329   -0.280   -0.196 1.001  4000
mu[151,3]            -0.329   0.071   -0.470   -0.376   -0.329   -0.280   -0.196 1.001  4000
mu[152,3]            -0.380   0.113   -0.596   -0.457   -0.381   -0.301   -0.159 1.001  4000
mu[153,3]            -0.380   0.113   -0.596   -0.457   -0.381   -0.301   -0.159 1.001  4000
mu[154,3]            -0.380   0.113   -0.596   -0.457   -0.381   -0.301   -0.159 1.001  4000
mu[155,3]            -0.380   0.113   -0.596   -0.457   -0.381   -0.301   -0.159 1.001  4000
mu[156,3]            -0.380   0.113   -0.596   -0.457   -0.381   -0.301   -0.159 1.001  4000
mu[157,3]            -0.380   0.113   -0.596   -0.457   -0.381   -0.301   -0.159 1.001  4000
mu[158,3]            -0.380   0.113   -0.596   -0.457   -0.381   -0.301   -0.159 1.001  4000
mu[159,3]            -0.380   0.113   -0.596   -0.457   -0.381   -0.301   -0.159 1.001  4000
mu[160,3]            -0.371   0.109   -0.587   -0.445   -0.370   -0.299   -0.162 1.000  4000
mu[161,3]            -0.359   0.115   -0.583   -0.436   -0.357   -0.283   -0.135 1.001  4000
mu[162,3]            -0.382   0.115   -0.602   -0.462   -0.383   -0.303   -0.156 1.001  4000
mu[163,3]            -0.371   0.109   -0.587   -0.445   -0.370   -0.299   -0.162 1.000  4000
mu[164,3]            -0.359   0.115   -0.583   -0.436   -0.357   -0.283   -0.135 1.001  4000
mu[165,3]            -0.084   0.077   -0.234   -0.136   -0.085   -0.032    0.066 1.001  3400
mu[166,3]            -0.371   0.109   -0.587   -0.445   -0.370   -0.299   -0.162 1.000  4000
mu[167,3]            -0.382   0.115   -0.602   -0.462   -0.383   -0.303   -0.156 1.001  4000
mu[168,3]            -0.359   0.115   -0.583   -0.436   -0.357   -0.283   -0.135 1.001  4000
mu[169,3]            -0.084   0.077   -0.234   -0.136   -0.085   -0.032    0.066 1.001  3400
mu[170,3]            -0.084   0.077   -0.234   -0.136   -0.085   -0.032    0.066 1.001  3400
mu[171,3]            -0.359   0.115   -0.583   -0.436   -0.357   -0.283   -0.135 1.001  4000
mu[172,3]            -0.359   0.115   -0.583   -0.436   -0.357   -0.283   -0.135 1.001  4000
mu[173,3]            -0.084   0.077   -0.234   -0.136   -0.085   -0.032    0.066 1.001  3400
mu[174,3]            -0.382   0.115   -0.602   -0.462   -0.383   -0.303   -0.156 1.001  4000
mu[175,3]            -0.371   0.109   -0.587   -0.445   -0.370   -0.299   -0.162 1.000  4000
mu[176,3]            -0.382   0.115   -0.602   -0.462   -0.383   -0.303   -0.156 1.001  4000
mu[177,3]            -0.084   0.077   -0.234   -0.136   -0.085   -0.032    0.066 1.001  3400
mu[178,3]            -0.084   0.077   -0.234   -0.136   -0.085   -0.032    0.066 1.001  3400
mu[179,3]            -0.371   0.109   -0.587   -0.445   -0.370   -0.299   -0.162 1.000  4000
mu[180,3]            -0.084   0.077   -0.234   -0.136   -0.085   -0.032    0.066 1.001  3400
mu[181,3]            -0.084   0.077   -0.234   -0.136   -0.085   -0.032    0.066 1.001  3400
mu[182,3]            -0.382   0.115   -0.602   -0.462   -0.383   -0.303   -0.156 1.001  4000
mu[183,3]            -0.359   0.115   -0.583   -0.436   -0.357   -0.283   -0.135 1.001  4000
mu[184,3]            -0.382   0.115   -0.602   -0.462   -0.383   -0.303   -0.156 1.001  4000
mu[185,3]            -0.359   0.115   -0.583   -0.436   -0.357   -0.283   -0.135 1.001  4000
mu[186,3]            -0.382   0.115   -0.602   -0.462   -0.383   -0.303   -0.156 1.001  4000
mu[187,3]            -0.371   0.109   -0.587   -0.445   -0.370   -0.299   -0.162 1.000  4000
mu[188,3]            -0.382   0.115   -0.602   -0.462   -0.383   -0.303   -0.156 1.001  4000
mu[189,3]            -0.359   0.115   -0.583   -0.436   -0.357   -0.283   -0.135 1.001  4000
mu[190,3]             0.032   0.114   -0.195   -0.043    0.033    0.107    0.254 1.001  3400
mu[191,3]             0.032   0.114   -0.195   -0.043    0.033    0.107    0.254 1.001  3400
mu[192,3]             0.032   0.114   -0.195   -0.043    0.033    0.107    0.254 1.001  3400
mu[193,3]             0.032   0.114   -0.195   -0.043    0.033    0.107    0.254 1.001  3400
mu[194,3]             0.032   0.114   -0.195   -0.043    0.033    0.107    0.254 1.001  3400
mu[195,3]             0.032   0.114   -0.195   -0.043    0.033    0.107    0.254 1.001  3400
mu[196,3]             0.032   0.114   -0.195   -0.043    0.033    0.107    0.254 1.001  3400
mu[197,3]             0.032   0.114   -0.195   -0.043    0.033    0.107    0.254 1.001  3400
mu[198,3]             0.302   0.115    0.078    0.223    0.301    0.380    0.528 1.001  4000
mu[199,3]             0.302   0.115    0.078    0.223    0.301    0.380    0.528 1.001  4000
mu[200,3]             0.302   0.115    0.078    0.223    0.301    0.380    0.528 1.001  4000
mu[201,3]             0.302   0.115    0.078    0.223    0.301    0.380    0.528 1.001  4000
mu[202,3]             0.302   0.115    0.078    0.223    0.301    0.380    0.528 1.001  4000
mu[203,3]             0.302   0.115    0.078    0.223    0.301    0.380    0.528 1.001  4000
mu[204,3]             0.302   0.115    0.078    0.223    0.301    0.380    0.528 1.001  4000
mu[205,3]             0.302   0.115    0.078    0.223    0.301    0.380    0.528 1.001  4000
mu[206,3]            -0.361   0.067   -0.492   -0.406   -0.361   -0.316   -0.231 1.001  4000
mu[207,3]            -0.361   0.067   -0.492   -0.406   -0.361   -0.316   -0.231 1.001  4000
mu[208,3]            -0.363   0.114   -0.596   -0.439   -0.359   -0.288   -0.143 1.002  1500
mu[209,3]            -0.363   0.114   -0.596   -0.439   -0.359   -0.288   -0.143 1.002  1500
mu[210,3]            -0.363   0.114   -0.596   -0.439   -0.359   -0.288   -0.143 1.002  1500
mu[211,3]            -0.361   0.067   -0.492   -0.406   -0.361   -0.316   -0.231 1.001  4000
mu[212,3]            -0.361   0.067   -0.492   -0.406   -0.361   -0.316   -0.231 1.001  4000
mu[213,3]            -0.286   0.081   -0.444   -0.341   -0.285   -0.229   -0.129 1.001  4000
mu[214,3]            -0.363   0.114   -0.596   -0.439   -0.359   -0.288   -0.143 1.002  1500
mu[215,3]            -0.363   0.114   -0.596   -0.439   -0.359   -0.288   -0.143 1.002  1500
mu[216,3]            -0.361   0.067   -0.492   -0.406   -0.361   -0.316   -0.231 1.001  4000
mu[217,3]             3.420   0.067    3.289    3.374    3.420    3.465    3.553 1.001  4000
mu[218,3]             3.420   0.067    3.289    3.374    3.420    3.465    3.553 1.001  4000
mu[219,3]            -0.286   0.081   -0.444   -0.341   -0.285   -0.229   -0.129 1.001  4000
mu[220,3]             3.420   0.067    3.289    3.374    3.420    3.465    3.553 1.001  4000
mu[221,3]             3.420   0.067    3.289    3.374    3.420    3.465    3.553 1.001  4000
mu[222,3]            -0.363   0.114   -0.596   -0.439   -0.359   -0.288   -0.143 1.002  1500
mu[223,3]            -0.363   0.114   -0.596   -0.439   -0.359   -0.288   -0.143 1.002  1500
mu[224,3]            -0.286   0.081   -0.444   -0.341   -0.285   -0.229   -0.129 1.001  4000
mu[225,3]            -0.361   0.067   -0.492   -0.406   -0.361   -0.316   -0.231 1.001  4000
mu[226,3]            -0.286   0.081   -0.444   -0.341   -0.285   -0.229   -0.129 1.001  4000
mu[227,3]             3.420   0.067    3.289    3.374    3.420    3.465    3.553 1.001  4000
mu[228,3]            -0.286   0.081   -0.444   -0.341   -0.285   -0.229   -0.129 1.001  4000
mu[229,3]            -0.286   0.081   -0.444   -0.341   -0.285   -0.229   -0.129 1.001  4000
mu[230,3]            -0.286   0.081   -0.444   -0.341   -0.285   -0.229   -0.129 1.001  4000
mu[231,3]            -0.361   0.067   -0.492   -0.406   -0.361   -0.316   -0.231 1.001  4000
mu[232,3]            -0.363   0.114   -0.596   -0.439   -0.359   -0.288   -0.143 1.002  1500
mu[233,3]            -0.361   0.067   -0.492   -0.406   -0.361   -0.316   -0.231 1.001  4000
mu[234,3]             3.420   0.067    3.289    3.374    3.420    3.465    3.553 1.001  4000
mu[235,3]             3.420   0.067    3.289    3.374    3.420    3.465    3.553 1.001  4000
mu[236,3]            -0.286   0.081   -0.444   -0.341   -0.285   -0.229   -0.129 1.001  4000
mu[237,3]             3.420   0.067    3.289    3.374    3.420    3.465    3.553 1.001  4000
mu[238,3]            -0.213   0.092   -0.387   -0.276   -0.212   -0.151   -0.029 1.001  4000
mu[239,3]            -0.213   0.092   -0.387   -0.276   -0.212   -0.151   -0.029 1.001  4000
mu[240,3]            -0.213   0.092   -0.387   -0.276   -0.212   -0.151   -0.029 1.001  4000
mu[241,3]            -0.213   0.092   -0.387   -0.276   -0.212   -0.151   -0.029 1.001  4000
mu[242,3]            -0.213   0.092   -0.387   -0.276   -0.212   -0.151   -0.029 1.001  4000
mu[243,3]            -0.213   0.092   -0.387   -0.276   -0.212   -0.151   -0.029 1.001  4000
mu[244,3]            -0.213   0.092   -0.387   -0.276   -0.212   -0.151   -0.029 1.001  4000
mu[245,3]            -0.213   0.092   -0.387   -0.276   -0.212   -0.151   -0.029 1.001  4000
mu[246,3]            -0.351   0.066   -0.478   -0.395   -0.352   -0.307   -0.221 1.001  4000
mu[247,3]            -0.351   0.066   -0.478   -0.395   -0.352   -0.307   -0.221 1.001  4000
mu[248,3]            -0.351   0.066   -0.478   -0.395   -0.352   -0.307   -0.221 1.001  4000
mu[249,3]            -0.351   0.066   -0.478   -0.395   -0.352   -0.307   -0.221 1.001  4000
mu[250,3]            -0.351   0.066   -0.478   -0.395   -0.352   -0.307   -0.221 1.001  4000
mu[251,3]            -0.351   0.066   -0.478   -0.395   -0.352   -0.307   -0.221 1.001  4000
mu[252,3]            -0.351   0.066   -0.478   -0.395   -0.352   -0.307   -0.221 1.001  4000
mu[253,3]            -0.351   0.066   -0.478   -0.395   -0.352   -0.307   -0.221 1.001  4000
mu[254,3]            -0.333   0.071   -0.474   -0.381   -0.333   -0.285   -0.200 1.001  4000
mu[255,3]            -0.352   0.097   -0.546   -0.417   -0.352   -0.288   -0.167 1.001  4000
mu[256,3]            -0.352   0.097   -0.546   -0.417   -0.352   -0.288   -0.167 1.001  4000
mu[257,3]            -0.333   0.071   -0.474   -0.381   -0.333   -0.285   -0.200 1.001  4000
mu[258,3]            -0.333   0.071   -0.474   -0.381   -0.333   -0.285   -0.200 1.001  4000
mu[259,3]            -0.333   0.071   -0.474   -0.381   -0.333   -0.285   -0.200 1.001  4000
mu[260,3]            -0.333   0.071   -0.474   -0.381   -0.333   -0.285   -0.200 1.001  4000
mu[261,3]            -0.352   0.097   -0.546   -0.417   -0.352   -0.288   -0.167 1.001  4000
mu[262,3]            -0.352   0.097   -0.546   -0.417   -0.352   -0.288   -0.167 1.001  4000
mu[263,3]            -0.352   0.097   -0.546   -0.417   -0.352   -0.288   -0.167 1.001  4000
mu[264,3]            -0.352   0.097   -0.546   -0.417   -0.352   -0.288   -0.167 1.001  4000
mu[265,3]            -0.333   0.071   -0.474   -0.381   -0.333   -0.285   -0.200 1.001  4000
mu[266,3]            -0.352   0.097   -0.546   -0.417   -0.352   -0.288   -0.167 1.001  4000
mu[267,3]            -0.333   0.071   -0.474   -0.381   -0.333   -0.285   -0.200 1.001  4000
mu[268,3]            -0.333   0.071   -0.474   -0.381   -0.333   -0.285   -0.200 1.001  4000
mu[269,3]            -0.352   0.097   -0.546   -0.417   -0.352   -0.288   -0.167 1.001  4000
mu[270,3]            -0.357   0.159   -0.660   -0.468   -0.357   -0.247   -0.050 1.001  4000
mu[271,3]            -0.357   0.159   -0.660   -0.468   -0.357   -0.247   -0.050 1.001  4000
mu[272,3]            -0.357   0.159   -0.660   -0.468   -0.357   -0.247   -0.050 1.001  4000
mu[273,3]            -0.357   0.159   -0.660   -0.468   -0.357   -0.247   -0.050 1.001  4000
mu[274,3]             3.407   0.077    3.257    3.354    3.406    3.459    3.564 1.001  4000
mu[275,3]             3.407   0.077    3.257    3.354    3.406    3.459    3.564 1.001  4000
mu[276,3]            -0.377   0.114   -0.605   -0.452   -0.376   -0.298   -0.157 1.001  4000
mu[277,3]             3.407   0.077    3.257    3.354    3.406    3.459    3.564 1.001  4000
mu[278,3]             3.407   0.077    3.257    3.354    3.406    3.459    3.564 1.001  4000
mu[279,3]            -0.377   0.114   -0.605   -0.452   -0.376   -0.298   -0.157 1.001  4000
mu[280,3]            -0.377   0.114   -0.605   -0.452   -0.376   -0.298   -0.157 1.001  4000
mu[281,3]            -0.328   0.089   -0.499   -0.388   -0.328   -0.269   -0.153 1.001  4000
mu[282,3]            -0.377   0.114   -0.605   -0.452   -0.376   -0.298   -0.157 1.001  4000
mu[283,3]            -0.377   0.114   -0.605   -0.452   -0.376   -0.298   -0.157 1.001  4000
mu[284,3]             3.407   0.077    3.257    3.354    3.406    3.459    3.564 1.001  4000
mu[285,3]            -0.328   0.089   -0.499   -0.388   -0.328   -0.269   -0.153 1.001  4000
mu[286,3]             3.407   0.077    3.257    3.354    3.406    3.459    3.564 1.001  4000
mu[287,3]             3.407   0.077    3.257    3.354    3.406    3.459    3.564 1.001  4000
mu[288,3]            -0.305   0.069   -0.444   -0.351   -0.305   -0.260   -0.171 1.001  4000
mu[289,3]            -0.328   0.089   -0.499   -0.388   -0.328   -0.269   -0.153 1.001  4000
mu[290,3]            -0.377   0.114   -0.605   -0.452   -0.376   -0.298   -0.157 1.001  4000
mu[291,3]            -0.305   0.069   -0.444   -0.351   -0.305   -0.260   -0.171 1.001  4000
mu[292,3]             3.407   0.077    3.257    3.354    3.406    3.459    3.564 1.001  4000
mu[293,3]            -0.328   0.089   -0.499   -0.388   -0.328   -0.269   -0.153 1.001  4000
mu[294,3]            -0.328   0.089   -0.499   -0.388   -0.328   -0.269   -0.153 1.001  4000
mu[295,3]            -0.305   0.069   -0.444   -0.351   -0.305   -0.260   -0.171 1.001  4000
mu[296,3]            -0.305   0.069   -0.444   -0.351   -0.305   -0.260   -0.171 1.001  4000
mu[297,3]            -0.377   0.114   -0.605   -0.452   -0.376   -0.298   -0.157 1.001  4000
mu[298,3]            -0.305   0.069   -0.444   -0.351   -0.305   -0.260   -0.171 1.001  4000
mu[299,3]            -0.328   0.089   -0.499   -0.388   -0.328   -0.269   -0.153 1.001  4000
mu[300,3]            -0.328   0.089   -0.499   -0.388   -0.328   -0.269   -0.153 1.001  4000
mu[301,3]            -0.377   0.114   -0.605   -0.452   -0.376   -0.298   -0.157 1.001  4000
mu[302,3]            -0.290   0.083   -0.454   -0.347   -0.291   -0.235   -0.121 1.001  3300
mu[303,3]            -0.328   0.089   -0.499   -0.388   -0.328   -0.269   -0.153 1.001  4000
mu[304,3]            -0.305   0.069   -0.444   -0.351   -0.305   -0.260   -0.171 1.001  4000
mu[305,3]            -0.290   0.083   -0.454   -0.347   -0.291   -0.235   -0.121 1.001  3300
mu[306,3]            -0.305   0.069   -0.444   -0.351   -0.305   -0.260   -0.171 1.001  4000
mu[307,3]            -0.290   0.083   -0.454   -0.347   -0.291   -0.235   -0.121 1.001  3300
mu[308,3]            -0.290   0.083   -0.454   -0.347   -0.291   -0.235   -0.121 1.001  3300
mu[309,3]            -0.305   0.069   -0.444   -0.351   -0.305   -0.260   -0.171 1.001  4000
mu[310,3]            -0.290   0.083   -0.454   -0.347   -0.291   -0.235   -0.121 1.001  3300
mu[311,3]            -0.290   0.083   -0.454   -0.347   -0.291   -0.235   -0.121 1.001  3300
mu[312,3]            -0.290   0.083   -0.454   -0.347   -0.291   -0.235   -0.121 1.001  3300
mu[313,3]            -0.290   0.083   -0.454   -0.347   -0.291   -0.235   -0.121 1.001  3300
mu[314,3]            -0.256   0.158   -0.561   -0.364   -0.258   -0.147    0.060 1.001  4000
mu[315,3]            -0.256   0.158   -0.561   -0.364   -0.258   -0.147    0.060 1.001  4000
mu[316,3]            -0.256   0.158   -0.561   -0.364   -0.258   -0.147    0.060 1.001  4000
mu[317,3]            -0.256   0.158   -0.561   -0.364   -0.258   -0.147    0.060 1.001  4000
mu[318,3]            -0.379   0.084   -0.544   -0.435   -0.377   -0.322   -0.218 1.001  2900
mu[319,3]            -0.379   0.084   -0.544   -0.435   -0.377   -0.322   -0.218 1.001  2900
mu[320,3]            -0.379   0.084   -0.544   -0.435   -0.377   -0.322   -0.218 1.001  2900
mu[321,3]            -0.379   0.084   -0.544   -0.435   -0.377   -0.322   -0.218 1.001  2900
mu[322,3]            -0.379   0.084   -0.544   -0.435   -0.377   -0.322   -0.218 1.001  2900
mu[323,3]            -0.379   0.084   -0.544   -0.435   -0.377   -0.322   -0.218 1.001  2900
mu[324,3]            -0.379   0.084   -0.544   -0.435   -0.377   -0.322   -0.218 1.001  2900
mu[325,3]            -0.379   0.084   -0.544   -0.435   -0.377   -0.322   -0.218 1.001  2900
mu[326,3]            -0.092   0.080   -0.251   -0.144   -0.094   -0.038    0.065 1.002  2600
mu[327,3]            -0.153   0.092   -0.333   -0.215   -0.152   -0.092    0.026 1.002  2600
mu[328,3]            -0.153   0.092   -0.333   -0.215   -0.152   -0.092    0.026 1.002  2600
mu[329,3]            -0.092   0.080   -0.251   -0.144   -0.094   -0.038    0.065 1.002  2600
mu[330,3]            -0.153   0.092   -0.333   -0.215   -0.152   -0.092    0.026 1.002  2600
mu[331,3]            -0.092   0.080   -0.251   -0.144   -0.094   -0.038    0.065 1.002  2600
mu[332,3]            -0.092   0.080   -0.251   -0.144   -0.094   -0.038    0.065 1.002  2600
mu[333,3]            -0.092   0.080   -0.251   -0.144   -0.094   -0.038    0.065 1.002  2600
mu[334,3]            -0.153   0.092   -0.333   -0.215   -0.152   -0.092    0.026 1.002  2600
mu[335,3]            -0.092   0.080   -0.251   -0.144   -0.094   -0.038    0.065 1.002  2600
mu[336,3]            -0.092   0.080   -0.251   -0.144   -0.094   -0.038    0.065 1.002  2600
mu[337,3]            -0.153   0.092   -0.333   -0.215   -0.152   -0.092    0.026 1.002  2600
mu[338,3]            -0.092   0.080   -0.251   -0.144   -0.094   -0.038    0.065 1.002  2600
mu[339,3]            -0.153   0.092   -0.333   -0.215   -0.152   -0.092    0.026 1.002  2600
mu[340,3]            -0.153   0.092   -0.333   -0.215   -0.152   -0.092    0.026 1.002  2600
mu[341,3]            -0.153   0.092   -0.333   -0.215   -0.152   -0.092    0.026 1.002  2600
mu[342,3]            -0.353   0.083   -0.517   -0.409   -0.353   -0.297   -0.191 1.001  4000
mu[343,3]            -0.353   0.083   -0.517   -0.409   -0.353   -0.297   -0.191 1.001  4000
mu[344,3]            -0.353   0.083   -0.517   -0.409   -0.353   -0.297   -0.191 1.001  4000
mu[345,3]            -0.353   0.083   -0.517   -0.409   -0.353   -0.297   -0.191 1.001  4000
mu[346,3]            -0.353   0.083   -0.517   -0.409   -0.353   -0.297   -0.191 1.001  4000
mu[347,3]            -0.353   0.083   -0.517   -0.409   -0.353   -0.297   -0.191 1.001  4000
mu[348,3]            -0.353   0.083   -0.517   -0.409   -0.353   -0.297   -0.191 1.001  4000
mu[349,3]            -0.353   0.083   -0.517   -0.409   -0.353   -0.297   -0.191 1.001  4000
mu[350,3]            -0.370   0.113   -0.585   -0.448   -0.369   -0.293   -0.152 1.001  4000
mu[351,3]            -0.370   0.113   -0.585   -0.448   -0.369   -0.293   -0.152 1.001  4000
mu[352,3]            -0.370   0.113   -0.585   -0.448   -0.369   -0.293   -0.152 1.001  4000
mu[353,3]            -0.370   0.113   -0.585   -0.448   -0.369   -0.293   -0.152 1.001  4000
mu[354,3]            -0.370   0.113   -0.585   -0.448   -0.369   -0.293   -0.152 1.001  4000
mu[355,3]            -0.370   0.113   -0.585   -0.448   -0.369   -0.293   -0.152 1.001  4000
mu[356,3]            -0.370   0.113   -0.585   -0.448   -0.369   -0.293   -0.152 1.001  4000
mu[357,3]            -0.370   0.113   -0.585   -0.448   -0.369   -0.293   -0.152 1.001  4000
mu[358,3]            -0.375   0.115   -0.598   -0.452   -0.373   -0.296   -0.148 1.001  3800
mu[359,3]            -0.375   0.115   -0.598   -0.452   -0.373   -0.296   -0.148 1.001  3800
mu[360,3]            -0.375   0.115   -0.598   -0.452   -0.373   -0.296   -0.148 1.001  3800
mu[361,3]            -0.375   0.115   -0.598   -0.452   -0.373   -0.296   -0.148 1.001  3800
mu[362,3]            -0.375   0.115   -0.598   -0.452   -0.373   -0.296   -0.148 1.001  3800
mu[363,3]            -0.375   0.115   -0.598   -0.452   -0.373   -0.296   -0.148 1.001  3800
mu[364,3]            -0.375   0.115   -0.598   -0.452   -0.373   -0.296   -0.148 1.001  3800
mu[365,3]            -0.375   0.115   -0.598   -0.452   -0.373   -0.296   -0.148 1.001  3800
mu[366,3]            -0.399   0.133   -0.656   -0.487   -0.396   -0.310   -0.141 1.002  1500
mu[367,3]            -0.399   0.133   -0.656   -0.487   -0.396   -0.310   -0.141 1.002  1500
mu[368,3]            -0.399   0.133   -0.656   -0.487   -0.396   -0.310   -0.141 1.002  1500
mu[369,3]            -0.399   0.133   -0.656   -0.487   -0.396   -0.310   -0.141 1.002  1500
mu[370,3]            -0.349   0.069   -0.487   -0.396   -0.347   -0.303   -0.215 1.001  2700
mu[371,3]            -0.372   0.090   -0.544   -0.434   -0.373   -0.310   -0.197 1.001  4000
mu[372,3]            -0.349   0.069   -0.487   -0.396   -0.347   -0.303   -0.215 1.001  2700
mu[373,3]            -0.372   0.090   -0.544   -0.434   -0.373   -0.310   -0.197 1.001  4000
mu[374,3]            -0.372   0.090   -0.544   -0.434   -0.373   -0.310   -0.197 1.001  4000
mu[375,3]            -0.349   0.069   -0.487   -0.396   -0.347   -0.303   -0.215 1.001  2700
mu[376,3]            -0.349   0.069   -0.487   -0.396   -0.347   -0.303   -0.215 1.001  2700
mu[377,3]            -0.334   0.084   -0.501   -0.390   -0.333   -0.279   -0.168 1.001  2900
mu[378,3]            -0.334   0.084   -0.501   -0.390   -0.333   -0.279   -0.168 1.001  2900
mu[379,3]            -0.334   0.084   -0.501   -0.390   -0.333   -0.279   -0.168 1.001  2900
mu[380,3]            -0.372   0.090   -0.544   -0.434   -0.373   -0.310   -0.197 1.001  4000
mu[381,3]            -0.372   0.090   -0.544   -0.434   -0.373   -0.310   -0.197 1.001  4000
mu[382,3]            -0.349   0.069   -0.487   -0.396   -0.347   -0.303   -0.215 1.001  2700
mu[383,3]            -0.334   0.084   -0.501   -0.390   -0.333   -0.279   -0.168 1.001  2900
mu[384,3]            -0.372   0.090   -0.544   -0.434   -0.373   -0.310   -0.197 1.001  4000
mu[385,3]            -0.349   0.069   -0.487   -0.396   -0.347   -0.303   -0.215 1.001  2700
mu[386,3]            -0.349   0.069   -0.487   -0.396   -0.347   -0.303   -0.215 1.001  2700
mu[387,3]            -0.334   0.084   -0.501   -0.390   -0.333   -0.279   -0.168 1.001  2900
mu[388,3]            -0.349   0.069   -0.487   -0.396   -0.347   -0.303   -0.215 1.001  2700
mu[389,3]            -0.334   0.084   -0.501   -0.390   -0.333   -0.279   -0.168 1.001  2900
mu[390,3]            -0.334   0.084   -0.501   -0.390   -0.333   -0.279   -0.168 1.001  2900
mu[391,3]            -0.334   0.084   -0.501   -0.390   -0.333   -0.279   -0.168 1.001  2900
mu[392,3]            -0.254   0.077   -0.405   -0.306   -0.254   -0.201   -0.109 1.001  4000
mu[393,3]            -0.143   0.115   -0.378   -0.220   -0.142   -0.065    0.081 1.001  4000
mu[394,3]            -0.143   0.115   -0.378   -0.220   -0.142   -0.065    0.081 1.001  4000
mu[395,3]            -0.254   0.077   -0.405   -0.306   -0.254   -0.201   -0.109 1.001  4000
mu[396,3]            -0.143   0.115   -0.378   -0.220   -0.142   -0.065    0.081 1.001  4000
mu[397,3]            -0.254   0.077   -0.405   -0.306   -0.254   -0.201   -0.109 1.001  4000
mu[398,3]            -0.254   0.077   -0.405   -0.306   -0.254   -0.201   -0.109 1.001  4000
mu[399,3]            -0.143   0.115   -0.378   -0.220   -0.142   -0.065    0.081 1.001  4000
mu[400,3]            -0.143   0.115   -0.378   -0.220   -0.142   -0.065    0.081 1.001  4000
mu[401,3]            -0.254   0.077   -0.405   -0.306   -0.254   -0.201   -0.109 1.001  4000
mu[402,3]            -0.254   0.077   -0.405   -0.306   -0.254   -0.201   -0.109 1.001  4000
mu[403,3]            -0.254   0.077   -0.405   -0.306   -0.254   -0.201   -0.109 1.001  4000
mu[404,3]            -0.143   0.115   -0.378   -0.220   -0.142   -0.065    0.081 1.001  4000
mu[405,3]            -0.143   0.115   -0.378   -0.220   -0.142   -0.065    0.081 1.001  4000
mu[406,3]            -0.143   0.115   -0.378   -0.220   -0.142   -0.065    0.081 1.001  4000
mu[407,3]            -0.254   0.077   -0.405   -0.306   -0.254   -0.201   -0.109 1.001  4000
mu[408,3]            -0.366   0.116   -0.597   -0.444   -0.368   -0.289   -0.137 1.000  4000
mu[409,3]            -0.366   0.116   -0.597   -0.444   -0.368   -0.289   -0.137 1.000  4000
mu[410,3]            -0.398   0.068   -0.531   -0.445   -0.398   -0.354   -0.264 1.001  4000
mu[411,3]            -0.366   0.116   -0.597   -0.444   -0.368   -0.289   -0.137 1.000  4000
mu[412,3]            -0.398   0.068   -0.531   -0.445   -0.398   -0.354   -0.264 1.001  4000
mu[413,3]            -0.366   0.116   -0.597   -0.444   -0.368   -0.289   -0.137 1.000  4000
mu[414,3]            -0.398   0.068   -0.531   -0.445   -0.398   -0.354   -0.264 1.001  4000
mu[415,3]            -0.398   0.068   -0.531   -0.445   -0.398   -0.354   -0.264 1.001  4000
mu[416,3]            -0.366   0.116   -0.597   -0.444   -0.368   -0.289   -0.137 1.000  4000
mu[417,3]            -0.398   0.068   -0.531   -0.445   -0.398   -0.354   -0.264 1.001  4000
mu[418,3]            -0.398   0.068   -0.531   -0.445   -0.398   -0.354   -0.264 1.001  4000
mu[419,3]            -0.366   0.116   -0.597   -0.444   -0.368   -0.289   -0.137 1.000  4000
mu[420,3]            -0.366   0.116   -0.597   -0.444   -0.368   -0.289   -0.137 1.000  4000
mu[421,3]            -0.398   0.068   -0.531   -0.445   -0.398   -0.354   -0.264 1.001  4000
mu[422,3]            -0.366   0.116   -0.597   -0.444   -0.368   -0.289   -0.137 1.000  4000
mu[423,3]            -0.381   0.065   -0.507   -0.425   -0.383   -0.338   -0.252 1.001  4000
mu[424,3]            -0.381   0.065   -0.507   -0.425   -0.383   -0.338   -0.252 1.001  4000
mu[425,3]            -0.381   0.065   -0.507   -0.425   -0.383   -0.338   -0.252 1.001  4000
mu[426,3]            -0.381   0.065   -0.507   -0.425   -0.383   -0.338   -0.252 1.001  4000
mu[427,3]            -0.381   0.065   -0.507   -0.425   -0.383   -0.338   -0.252 1.001  4000
mu[428,3]            -0.381   0.065   -0.507   -0.425   -0.383   -0.338   -0.252 1.001  4000
mu[429,3]            -0.381   0.065   -0.507   -0.425   -0.383   -0.338   -0.252 1.001  4000
mu[430,3]            -0.381   0.065   -0.507   -0.425   -0.383   -0.338   -0.252 1.001  4000
mu[431,3]             0.055   0.098   -0.137   -0.012    0.056    0.121    0.246 1.002  2200
mu[432,3]             0.055   0.098   -0.137   -0.012    0.056    0.121    0.246 1.002  2200
mu[433,3]             3.873   0.115    3.641    3.795    3.873    3.948    4.100 1.001  4000
mu[434,3]             0.055   0.098   -0.137   -0.012    0.056    0.121    0.246 1.002  2200
mu[435,3]             3.873   0.115    3.641    3.795    3.873    3.948    4.100 1.001  4000
mu[436,3]             3.873   0.115    3.641    3.795    3.873    3.948    4.100 1.001  4000
mu[437,3]             3.873   0.115    3.641    3.795    3.873    3.948    4.100 1.001  4000
mu[438,3]             0.055   0.098   -0.137   -0.012    0.056    0.121    0.246 1.002  2200
mu[439,3]             3.873   0.115    3.641    3.795    3.873    3.948    4.100 1.001  4000
mu[440,3]            -0.234   0.090   -0.413   -0.293   -0.235   -0.174   -0.058 1.001  4000
mu[441,3]             0.055   0.098   -0.137   -0.012    0.056    0.121    0.246 1.002  2200
mu[442,3]             3.873   0.115    3.641    3.795    3.873    3.948    4.100 1.001  4000
mu[443,3]            -0.234   0.090   -0.413   -0.293   -0.235   -0.174   -0.058 1.001  4000
mu[444,3]             0.055   0.098   -0.137   -0.012    0.056    0.121    0.246 1.002  2200
mu[445,3]             3.873   0.115    3.641    3.795    3.873    3.948    4.100 1.001  4000
mu[446,3]            -0.234   0.090   -0.413   -0.293   -0.235   -0.174   -0.058 1.001  4000
mu[447,3]             3.873   0.115    3.641    3.795    3.873    3.948    4.100 1.001  4000
mu[448,3]            -0.234   0.090   -0.413   -0.293   -0.235   -0.174   -0.058 1.001  4000
mu[449,3]             0.055   0.098   -0.137   -0.012    0.056    0.121    0.246 1.002  2200
mu[450,3]            -0.234   0.090   -0.413   -0.293   -0.235   -0.174   -0.058 1.001  4000
mu[451,3]             0.055   0.098   -0.137   -0.012    0.056    0.121    0.246 1.002  2200
mu[452,3]            -0.234   0.090   -0.413   -0.293   -0.235   -0.174   -0.058 1.001  4000
mu[453,3]            -0.234   0.090   -0.413   -0.293   -0.235   -0.174   -0.058 1.001  4000
mu[454,3]            -0.234   0.090   -0.413   -0.293   -0.235   -0.174   -0.058 1.001  4000
mu[455,3]             0.872   0.096    0.683    0.808    0.871    0.938    1.058 1.001  4000
mu[456,3]            -0.377   0.111   -0.598   -0.449   -0.375   -0.302   -0.161 1.000  4000
mu[457,3]            -0.377   0.111   -0.598   -0.449   -0.375   -0.302   -0.161 1.000  4000
mu[458,3]            -0.377   0.111   -0.598   -0.449   -0.375   -0.302   -0.161 1.000  4000
mu[459,3]             0.872   0.096    0.683    0.808    0.871    0.938    1.058 1.001  4000
mu[460,3]             0.872   0.096    0.683    0.808    0.871    0.938    1.058 1.001  4000
mu[461,3]             0.872   0.096    0.683    0.808    0.871    0.938    1.058 1.001  4000
mu[462,3]             0.872   0.096    0.683    0.808    0.871    0.938    1.058 1.001  4000
mu[463,3]             0.872   0.096    0.683    0.808    0.871    0.938    1.058 1.001  4000
mu[464,3]             0.872   0.096    0.683    0.808    0.871    0.938    1.058 1.001  4000
mu[465,3]             0.872   0.096    0.683    0.808    0.871    0.938    1.058 1.001  4000
mu[466,3]            -0.367   0.114   -0.594   -0.445   -0.367   -0.291   -0.147 1.002  2300
mu[467,3]            -0.367   0.114   -0.594   -0.445   -0.367   -0.291   -0.147 1.002  2300
mu[468,3]            -0.367   0.114   -0.594   -0.445   -0.367   -0.291   -0.147 1.002  2300
mu[469,3]            -0.367   0.114   -0.594   -0.445   -0.367   -0.291   -0.147 1.002  2300
mu[470,3]            -0.367   0.114   -0.594   -0.445   -0.367   -0.291   -0.147 1.002  2300
mu[471,3]            -0.367   0.114   -0.594   -0.445   -0.367   -0.291   -0.147 1.002  2300
mu[472,3]            -0.367   0.114   -0.594   -0.445   -0.367   -0.291   -0.147 1.002  2300
mu[473,3]            -0.367   0.114   -0.594   -0.445   -0.367   -0.291   -0.147 1.002  2300
mu[474,3]            -0.283   0.117   -0.513   -0.362   -0.283   -0.206   -0.049 1.001  4000
mu[475,3]            -0.283   0.117   -0.513   -0.362   -0.283   -0.206   -0.049 1.001  4000
mu[476,3]            -0.283   0.117   -0.513   -0.362   -0.283   -0.206   -0.049 1.001  4000
mu[477,3]            -0.283   0.117   -0.513   -0.362   -0.283   -0.206   -0.049 1.001  4000
mu[478,3]            -0.325   0.070   -0.465   -0.373   -0.325   -0.278   -0.190 1.001  4000
mu[479,3]            -0.325   0.070   -0.465   -0.373   -0.325   -0.278   -0.190 1.001  4000
mu[480,3]            -0.302   0.113   -0.521   -0.379   -0.301   -0.225   -0.080 1.001  4000
mu[481,3]            -0.302   0.113   -0.521   -0.379   -0.301   -0.225   -0.080 1.001  4000
mu[482,3]            -0.302   0.113   -0.521   -0.379   -0.301   -0.225   -0.080 1.001  4000
mu[483,3]             3.456   0.068    3.321    3.411    3.456    3.502    3.593 1.001  4000
mu[484,3]             3.456   0.068    3.321    3.411    3.456    3.502    3.593 1.001  4000
mu[485,3]            -0.302   0.113   -0.521   -0.379   -0.301   -0.225   -0.080 1.001  4000
mu[486,3]            -0.302   0.113   -0.521   -0.379   -0.301   -0.225   -0.080 1.001  4000
mu[487,3]            -0.302   0.113   -0.521   -0.379   -0.301   -0.225   -0.080 1.001  4000
mu[488,3]             3.456   0.068    3.321    3.411    3.456    3.502    3.593 1.001  4000
mu[489,3]            -0.363   0.116   -0.592   -0.442   -0.363   -0.287   -0.134 1.001  4000
mu[490,3]            -0.302   0.113   -0.521   -0.379   -0.301   -0.225   -0.080 1.001  4000
mu[491,3]            -0.325   0.070   -0.465   -0.373   -0.325   -0.278   -0.190 1.001  4000
mu[492,3]             3.456   0.068    3.321    3.411    3.456    3.502    3.593 1.001  4000
mu[493,3]            -0.302   0.113   -0.521   -0.379   -0.301   -0.225   -0.080 1.001  4000
mu[494,3]            -0.363   0.116   -0.592   -0.442   -0.363   -0.287   -0.134 1.001  4000
mu[495,3]            -0.325   0.070   -0.465   -0.373   -0.325   -0.278   -0.190 1.001  4000
mu[496,3]            -0.325   0.070   -0.465   -0.373   -0.325   -0.278   -0.190 1.001  4000
mu[497,3]            -0.363   0.116   -0.592   -0.442   -0.363   -0.287   -0.134 1.001  4000
mu[498,3]            -0.363   0.116   -0.592   -0.442   -0.363   -0.287   -0.134 1.001  4000
mu[499,3]            -0.325   0.070   -0.465   -0.373   -0.325   -0.278   -0.190 1.001  4000
mu[500,3]            -0.363   0.116   -0.592   -0.442   -0.363   -0.287   -0.134 1.001  4000
mu[501,3]             3.456   0.068    3.321    3.411    3.456    3.502    3.593 1.001  4000
mu[502,3]            -0.325   0.070   -0.465   -0.373   -0.325   -0.278   -0.190 1.001  4000
mu[503,3]            -0.363   0.116   -0.592   -0.442   -0.363   -0.287   -0.134 1.001  4000
mu[504,3]            -0.363   0.116   -0.592   -0.442   -0.363   -0.287   -0.134 1.001  4000
mu[505,3]             3.456   0.068    3.321    3.411    3.456    3.502    3.593 1.001  4000
mu[506,3]             3.456   0.068    3.321    3.411    3.456    3.502    3.593 1.001  4000
mu[507,3]             3.456   0.068    3.321    3.411    3.456    3.502    3.593 1.001  4000
mu[508,3]            -0.363   0.116   -0.592   -0.442   -0.363   -0.287   -0.134 1.001  4000
mu[509,3]            -0.325   0.070   -0.465   -0.373   -0.325   -0.278   -0.190 1.001  4000
mu[510,3]             0.824   0.101    0.628    0.756    0.823    0.893    1.019 1.001  4000
mu[511,3]             0.824   0.101    0.628    0.756    0.823    0.893    1.019 1.001  4000
mu[512,3]             0.824   0.101    0.628    0.756    0.823    0.893    1.019 1.001  4000
mu[513,3]             0.824   0.101    0.628    0.756    0.823    0.893    1.019 1.001  4000
mu[514,3]            -0.314   0.086   -0.484   -0.370   -0.314   -0.256   -0.149 1.001  4000
mu[515,3]            -0.314   0.086   -0.484   -0.370   -0.314   -0.256   -0.149 1.001  4000
mu[516,3]            -0.378   0.086   -0.547   -0.435   -0.379   -0.322   -0.210 1.001  4000
mu[517,3]            -0.314   0.086   -0.484   -0.370   -0.314   -0.256   -0.149 1.001  4000
mu[518,3]            -0.378   0.086   -0.547   -0.435   -0.379   -0.322   -0.210 1.001  4000
mu[519,3]            -0.378   0.086   -0.547   -0.435   -0.379   -0.322   -0.210 1.001  4000
mu[520,3]            -0.378   0.086   -0.547   -0.435   -0.379   -0.322   -0.210 1.001  4000
mu[521,3]            -0.306   0.090   -0.481   -0.367   -0.306   -0.244   -0.128 1.001  4000
mu[522,3]            -0.306   0.090   -0.481   -0.367   -0.306   -0.244   -0.128 1.001  4000
mu[523,3]            -0.306   0.090   -0.481   -0.367   -0.306   -0.244   -0.128 1.001  4000
mu[524,3]            -0.306   0.090   -0.481   -0.367   -0.306   -0.244   -0.128 1.001  4000
mu[525,3]            -0.306   0.090   -0.481   -0.367   -0.306   -0.244   -0.128 1.001  4000
mu[526,3]            -0.306   0.090   -0.481   -0.367   -0.306   -0.244   -0.128 1.001  4000
mu[527,3]            -0.306   0.090   -0.481   -0.367   -0.306   -0.244   -0.128 1.001  4000
mu[528,3]            -0.306   0.090   -0.481   -0.367   -0.306   -0.244   -0.128 1.001  4000
mu[529,3]            -0.266   0.088   -0.437   -0.325   -0.266   -0.207   -0.093 1.001  3100
mu[530,3]            -0.266   0.088   -0.437   -0.325   -0.266   -0.207   -0.093 1.001  3100
mu[531,3]            -0.266   0.088   -0.437   -0.325   -0.266   -0.207   -0.093 1.001  3100
mu[532,3]            -0.266   0.088   -0.437   -0.325   -0.266   -0.207   -0.093 1.001  3100
mu[533,3]            -0.266   0.088   -0.437   -0.325   -0.266   -0.207   -0.093 1.001  3100
mu[534,3]            -0.266   0.088   -0.437   -0.325   -0.266   -0.207   -0.093 1.001  3100
mu[535,3]            -0.266   0.088   -0.437   -0.325   -0.266   -0.207   -0.093 1.001  3100
mu[536,3]            -0.266   0.088   -0.437   -0.325   -0.266   -0.207   -0.093 1.001  3100
mu[537,3]             0.306   0.094    0.121    0.244    0.307    0.371    0.490 1.001  4000
mu[538,3]             0.306   0.094    0.121    0.244    0.307    0.371    0.490 1.001  4000
mu[539,3]             0.306   0.094    0.121    0.244    0.307    0.371    0.490 1.001  4000
mu[540,3]             0.306   0.094    0.121    0.244    0.307    0.371    0.490 1.001  4000
mu[541,3]             0.306   0.094    0.121    0.244    0.307    0.371    0.490 1.001  4000
mu[542,3]             0.306   0.094    0.121    0.244    0.307    0.371    0.490 1.001  4000
mu[543,3]             0.306   0.094    0.121    0.244    0.307    0.371    0.490 1.001  4000
mu[544,3]             0.306   0.094    0.121    0.244    0.307    0.371    0.490 1.001  4000
mu[545,3]            -0.093   0.132   -0.355   -0.181   -0.094   -0.005    0.165 1.001  3300
mu[546,3]            -0.093   0.132   -0.355   -0.181   -0.094   -0.005    0.165 1.001  3300
mu[547,3]            -0.093   0.132   -0.355   -0.181   -0.094   -0.005    0.165 1.001  3300
mu[548,3]            -0.093   0.132   -0.355   -0.181   -0.094   -0.005    0.165 1.001  3300
mu[549,3]            -0.093   0.132   -0.355   -0.181   -0.094   -0.005    0.165 1.001  3300
mu[550,3]            -0.093   0.132   -0.355   -0.181   -0.094   -0.005    0.165 1.001  3300
mu[551,3]            -0.323   0.116   -0.547   -0.401   -0.327   -0.245   -0.095 1.002  2600
mu[552,3]            -0.323   0.116   -0.547   -0.401   -0.327   -0.245   -0.095 1.002  2600
mu[553,3]            -0.323   0.116   -0.547   -0.401   -0.327   -0.245   -0.095 1.002  2600
mu[554,3]            -0.323   0.116   -0.547   -0.401   -0.327   -0.245   -0.095 1.002  2600
mu[555,3]            -0.323   0.116   -0.547   -0.401   -0.327   -0.245   -0.095 1.002  2600
mu[556,3]            -0.323   0.116   -0.547   -0.401   -0.327   -0.245   -0.095 1.002  2600
mu[557,3]            -0.323   0.116   -0.547   -0.401   -0.327   -0.245   -0.095 1.002  2600
mu[558,3]            -0.323   0.116   -0.547   -0.401   -0.327   -0.245   -0.095 1.002  2600
mu[559,3]            -0.365   0.090   -0.541   -0.425   -0.365   -0.305   -0.190 1.001  4000
mu[560,3]            -0.379   0.114   -0.602   -0.459   -0.378   -0.302   -0.160 1.001  4000
mu[561,3]            -0.365   0.090   -0.541   -0.425   -0.365   -0.305   -0.190 1.001  4000
mu[562,3]            -0.365   0.090   -0.541   -0.425   -0.365   -0.305   -0.190 1.001  4000
mu[563,3]            -0.379   0.114   -0.602   -0.459   -0.378   -0.302   -0.160 1.001  4000
mu[564,3]            -0.365   0.090   -0.541   -0.425   -0.365   -0.305   -0.190 1.001  4000
mu[565,3]            -0.379   0.114   -0.602   -0.459   -0.378   -0.302   -0.160 1.001  4000
mu[566,3]            -0.379   0.114   -0.602   -0.459   -0.378   -0.302   -0.160 1.001  4000
mu[567,3]            -0.379   0.114   -0.602   -0.459   -0.378   -0.302   -0.160 1.001  4000
mu[568,3]            -0.365   0.090   -0.541   -0.425   -0.365   -0.305   -0.190 1.001  4000
mu[569,3]            -0.365   0.090   -0.541   -0.425   -0.365   -0.305   -0.190 1.001  4000
mu[570,3]            -0.365   0.090   -0.541   -0.425   -0.365   -0.305   -0.190 1.001  4000
mu[571,3]            -0.379   0.114   -0.602   -0.459   -0.378   -0.302   -0.160 1.001  4000
mu[572,3]            -0.379   0.114   -0.602   -0.459   -0.378   -0.302   -0.160 1.001  4000
mu[573,3]            -0.365   0.090   -0.541   -0.425   -0.365   -0.305   -0.190 1.001  4000
mu[574,3]            -0.379   0.114   -0.602   -0.459   -0.378   -0.302   -0.160 1.001  4000
mu[575,3]            -0.196   0.097   -0.383   -0.260   -0.196   -0.131    0.004 1.001  4000
mu[576,3]            -0.196   0.097   -0.383   -0.260   -0.196   -0.131    0.004 1.001  4000
mu[577,3]            -0.196   0.097   -0.383   -0.260   -0.196   -0.131    0.004 1.001  4000
mu[578,3]            -0.196   0.097   -0.383   -0.260   -0.196   -0.131    0.004 1.001  4000
mu[579,3]            -0.196   0.097   -0.383   -0.260   -0.196   -0.131    0.004 1.001  4000
mu[580,3]            -0.196   0.097   -0.383   -0.260   -0.196   -0.131    0.004 1.001  4000
mu[581,3]            -0.196   0.097   -0.383   -0.260   -0.196   -0.131    0.004 1.001  4000
mu[582,3]            -0.196   0.097   -0.383   -0.260   -0.196   -0.131    0.004 1.001  4000
mu[583,3]            -0.361   0.113   -0.585   -0.438   -0.360   -0.285   -0.135 1.002  1900
mu[584,3]            -0.361   0.113   -0.585   -0.438   -0.360   -0.285   -0.135 1.002  1900
mu[585,3]            -0.361   0.113   -0.585   -0.438   -0.360   -0.285   -0.135 1.002  1900
mu[586,3]            -0.361   0.113   -0.585   -0.438   -0.360   -0.285   -0.135 1.002  1900
mu[587,3]            -0.361   0.113   -0.585   -0.438   -0.360   -0.285   -0.135 1.002  1900
mu[588,3]            -0.361   0.113   -0.585   -0.438   -0.360   -0.285   -0.135 1.002  1900
mu[589,3]            -0.361   0.113   -0.585   -0.438   -0.360   -0.285   -0.135 1.002  1900
mu[590,3]            -0.361   0.113   -0.585   -0.438   -0.360   -0.285   -0.135 1.002  1900
mu[1,4]              -0.598   0.160   -0.907   -0.709   -0.598   -0.491   -0.282 1.001  4000
mu[2,4]              -0.598   0.160   -0.907   -0.709   -0.598   -0.491   -0.282 1.001  4000
mu[3,4]              -0.598   0.160   -0.907   -0.709   -0.598   -0.491   -0.282 1.001  4000
mu[4,4]              -0.598   0.160   -0.907   -0.709   -0.598   -0.491   -0.282 1.001  4000
mu[5,4]              -0.598   0.160   -0.907   -0.709   -0.598   -0.491   -0.282 1.001  4000
mu[6,4]              -0.598   0.160   -0.907   -0.709   -0.598   -0.491   -0.282 1.001  4000
mu[7,4]              -0.598   0.160   -0.907   -0.709   -0.598   -0.491   -0.282 1.001  4000
mu[8,4]              -0.598   0.160   -0.907   -0.709   -0.598   -0.491   -0.282 1.001  4000
mu[9,4]              -0.062   0.220   -0.493   -0.212   -0.064    0.084    0.373 1.002  2400
mu[10,4]             -0.062   0.220   -0.493   -0.212   -0.064    0.084    0.373 1.002  2400
mu[11,4]             -0.062   0.220   -0.493   -0.212   -0.064    0.084    0.373 1.002  2400
mu[12,4]             -0.062   0.220   -0.493   -0.212   -0.064    0.084    0.373 1.002  2400
mu[13,4]             -0.062   0.220   -0.493   -0.212   -0.064    0.084    0.373 1.002  2400
mu[14,4]             -0.062   0.220   -0.493   -0.212   -0.064    0.084    0.373 1.002  2400
mu[15,4]             -0.062   0.220   -0.493   -0.212   -0.064    0.084    0.373 1.002  2400
mu[16,4]             -0.062   0.220   -0.493   -0.212   -0.064    0.084    0.373 1.002  2400
mu[17,4]              0.424   0.183    0.069    0.302    0.426    0.545    0.786 1.001  2900
mu[18,4]              0.424   0.183    0.069    0.302    0.426    0.545    0.786 1.001  2900
mu[19,4]              0.424   0.183    0.069    0.302    0.426    0.545    0.786 1.001  2900
mu[20,4]              0.424   0.183    0.069    0.302    0.426    0.545    0.786 1.001  2900
mu[21,4]              0.424   0.183    0.069    0.302    0.426    0.545    0.786 1.001  2900
mu[22,4]              0.424   0.183    0.069    0.302    0.426    0.545    0.786 1.001  2900
mu[23,4]              0.424   0.183    0.069    0.302    0.426    0.545    0.786 1.001  2900
mu[24,4]             -0.497   0.178   -0.844   -0.618   -0.492   -0.379   -0.160 1.001  4000
mu[25,4]             -0.497   0.178   -0.844   -0.618   -0.492   -0.379   -0.160 1.001  4000
mu[26,4]             -0.497   0.178   -0.844   -0.618   -0.492   -0.379   -0.160 1.001  4000
mu[27,4]             -0.497   0.178   -0.844   -0.618   -0.492   -0.379   -0.160 1.001  4000
mu[28,4]             -0.497   0.178   -0.844   -0.618   -0.492   -0.379   -0.160 1.001  4000
mu[29,4]             -0.497   0.178   -0.844   -0.618   -0.492   -0.379   -0.160 1.001  4000
mu[30,4]             -0.497   0.178   -0.844   -0.618   -0.492   -0.379   -0.160 1.001  4000
mu[31,4]             -0.497   0.178   -0.844   -0.618   -0.492   -0.379   -0.160 1.001  4000
mu[32,4]              4.699   0.290    4.145    4.505    4.700    4.897    5.278 1.002  1800
mu[33,4]              1.983   0.246    1.488    1.820    1.985    2.149    2.465 1.001  4000
mu[34,4]              1.263   0.222    0.820    1.115    1.261    1.412    1.691 1.002  2200
mu[35,4]              4.699   0.290    4.145    4.505    4.700    4.897    5.278 1.002  1800
mu[36,4]              1.263   0.222    0.820    1.115    1.261    1.412    1.691 1.002  2200
mu[37,4]              1.983   0.246    1.488    1.820    1.985    2.149    2.465 1.001  4000
mu[38,4]              4.699   0.290    4.145    4.505    4.700    4.897    5.278 1.002  1800
mu[39,4]              4.699   0.290    4.145    4.505    4.700    4.897    5.278 1.002  1800
mu[40,4]              1.263   0.222    0.820    1.115    1.261    1.412    1.691 1.002  2200
mu[41,4]              1.983   0.246    1.488    1.820    1.985    2.149    2.465 1.001  4000
mu[42,4]              1.983   0.246    1.488    1.820    1.985    2.149    2.465 1.001  4000
mu[43,4]              1.983   0.246    1.488    1.820    1.985    2.149    2.465 1.001  4000
mu[44,4]              1.263   0.222    0.820    1.115    1.261    1.412    1.691 1.002  2200
mu[45,4]              1.263   0.222    0.820    1.115    1.261    1.412    1.691 1.002  2200
mu[46,4]              4.699   0.290    4.145    4.505    4.700    4.897    5.278 1.002  1800
mu[47,4]              1.263   0.222    0.820    1.115    1.261    1.412    1.691 1.002  2200
mu[48,4]              1.263   0.222    0.820    1.115    1.261    1.412    1.691 1.002  2200
mu[49,4]              1.983   0.246    1.488    1.820    1.985    2.149    2.465 1.001  4000
mu[50,4]              1.263   0.222    0.820    1.115    1.261    1.412    1.691 1.002  2200
mu[51,4]             -0.002   0.205   -0.398   -0.140    0.000    0.136    0.393 1.001  4000
mu[52,4]             -0.396   0.184   -0.761   -0.519   -0.392   -0.273   -0.034 1.001  4000
mu[53,4]             -0.396   0.184   -0.761   -0.519   -0.392   -0.273   -0.034 1.001  4000
mu[54,4]             -0.396   0.184   -0.761   -0.519   -0.392   -0.273   -0.034 1.001  4000
mu[55,4]             -0.396   0.184   -0.761   -0.519   -0.392   -0.273   -0.034 1.001  4000
mu[56,4]             -0.002   0.205   -0.398   -0.140    0.000    0.136    0.393 1.001  4000
mu[57,4]             -0.396   0.184   -0.761   -0.519   -0.392   -0.273   -0.034 1.001  4000
mu[58,4]             -0.002   0.205   -0.398   -0.140    0.000    0.136    0.393 1.001  4000
mu[59,4]             -0.002   0.205   -0.398   -0.140    0.000    0.136    0.393 1.001  4000
mu[60,4]             -0.396   0.184   -0.761   -0.519   -0.392   -0.273   -0.034 1.001  4000
mu[61,4]             -0.002   0.205   -0.398   -0.140    0.000    0.136    0.393 1.001  4000
mu[62,4]             -0.002   0.205   -0.398   -0.140    0.000    0.136    0.393 1.001  4000
mu[63,4]             -0.396   0.184   -0.761   -0.519   -0.392   -0.273   -0.034 1.001  4000
mu[64,4]             -0.396   0.184   -0.761   -0.519   -0.392   -0.273   -0.034 1.001  4000
mu[65,4]             -0.173   0.230   -0.622   -0.329   -0.173   -0.014    0.273 1.001  4000
mu[66,4]             -0.173   0.230   -0.622   -0.329   -0.173   -0.014    0.273 1.001  4000
mu[67,4]             -0.173   0.230   -0.622   -0.329   -0.173   -0.014    0.273 1.001  4000
mu[68,4]             -0.275   0.221   -0.710   -0.421   -0.275   -0.127    0.161 1.001  4000
mu[69,4]             -0.275   0.221   -0.710   -0.421   -0.275   -0.127    0.161 1.001  4000
mu[70,4]             -0.173   0.230   -0.622   -0.329   -0.173   -0.014    0.273 1.001  4000
mu[71,4]             -0.275   0.221   -0.710   -0.421   -0.275   -0.127    0.161 1.001  4000
mu[72,4]             -0.173   0.230   -0.622   -0.329   -0.173   -0.014    0.273 1.001  4000
mu[73,4]             -0.173   0.230   -0.622   -0.329   -0.173   -0.014    0.273 1.001  4000
mu[74,4]             -0.275   0.221   -0.710   -0.421   -0.275   -0.127    0.161 1.001  4000
mu[75,4]             -0.275   0.221   -0.710   -0.421   -0.275   -0.127    0.161 1.001  4000
mu[76,4]             -0.275   0.221   -0.710   -0.421   -0.275   -0.127    0.161 1.001  4000
mu[77,4]             -0.275   0.221   -0.710   -0.421   -0.275   -0.127    0.161 1.001  4000
mu[78,4]             -0.275   0.221   -0.710   -0.421   -0.275   -0.127    0.161 1.001  4000
mu[79,4]             -0.173   0.230   -0.622   -0.329   -0.173   -0.014    0.273 1.001  4000
mu[80,4]             -0.663   0.219   -1.082   -0.810   -0.663   -0.518   -0.234 1.001  4000
mu[81,4]             -0.663   0.219   -1.082   -0.810   -0.663   -0.518   -0.234 1.001  4000
mu[82,4]             -0.663   0.219   -1.082   -0.810   -0.663   -0.518   -0.234 1.001  4000
mu[83,4]             -0.663   0.219   -1.082   -0.810   -0.663   -0.518   -0.234 1.001  4000
mu[84,4]             -0.663   0.219   -1.082   -0.810   -0.663   -0.518   -0.234 1.001  4000
mu[85,4]             -0.663   0.219   -1.082   -0.810   -0.663   -0.518   -0.234 1.001  4000
mu[86,4]             -0.663   0.219   -1.082   -0.810   -0.663   -0.518   -0.234 1.001  4000
mu[87,4]             -0.663   0.219   -1.082   -0.810   -0.663   -0.518   -0.234 1.001  4000
mu[88,4]             -0.937   0.168   -1.258   -1.050   -0.941   -0.827   -0.597 1.001  4000
mu[89,4]             -0.937   0.168   -1.258   -1.050   -0.941   -0.827   -0.597 1.001  4000
mu[90,4]             -0.937   0.168   -1.258   -1.050   -0.941   -0.827   -0.597 1.001  4000
mu[91,4]             -0.937   0.168   -1.258   -1.050   -0.941   -0.827   -0.597 1.001  4000
mu[92,4]             -0.937   0.168   -1.258   -1.050   -0.941   -0.827   -0.597 1.001  4000
mu[93,4]             -0.937   0.168   -1.258   -1.050   -0.941   -0.827   -0.597 1.001  4000
mu[94,4]             -0.937   0.168   -1.258   -1.050   -0.941   -0.827   -0.597 1.001  4000
mu[95,4]             -0.937   0.168   -1.258   -1.050   -0.941   -0.827   -0.597 1.001  4000
mu[96,4]              0.291   0.221   -0.136    0.140    0.289    0.441    0.724 1.001  4000
mu[97,4]              0.291   0.221   -0.136    0.140    0.289    0.441    0.724 1.001  4000
mu[98,4]              0.291   0.221   -0.136    0.140    0.289    0.441    0.724 1.001  4000
mu[99,4]              0.291   0.221   -0.136    0.140    0.289    0.441    0.724 1.001  4000
mu[100,4]             0.291   0.221   -0.136    0.140    0.289    0.441    0.724 1.001  4000
mu[101,4]             0.291   0.221   -0.136    0.140    0.289    0.441    0.724 1.001  4000
mu[102,4]             0.291   0.221   -0.136    0.140    0.289    0.441    0.724 1.001  4000
mu[103,4]             0.291   0.221   -0.136    0.140    0.289    0.441    0.724 1.001  4000
mu[104,4]            -0.230   0.166   -0.554   -0.344   -0.229   -0.116    0.097 1.001  4000
mu[105,4]            -0.230   0.166   -0.554   -0.344   -0.229   -0.116    0.097 1.001  4000
mu[106,4]            -0.230   0.166   -0.554   -0.344   -0.229   -0.116    0.097 1.001  4000
mu[107,4]            -0.230   0.166   -0.554   -0.344   -0.229   -0.116    0.097 1.001  4000
mu[108,4]            -0.230   0.166   -0.554   -0.344   -0.229   -0.116    0.097 1.001  4000
mu[109,4]            -0.230   0.166   -0.554   -0.344   -0.229   -0.116    0.097 1.001  4000
mu[110,4]            -0.230   0.166   -0.554   -0.344   -0.229   -0.116    0.097 1.001  4000
mu[111,4]            -0.230   0.166   -0.554   -0.344   -0.229   -0.116    0.097 1.001  4000
mu[112,4]            -0.035   0.155   -0.334   -0.140   -0.037    0.070    0.269 1.001  4000
mu[113,4]            -0.600   0.143   -0.892   -0.694   -0.601   -0.507   -0.323 1.002  1800
mu[114,4]            -0.600   0.143   -0.892   -0.694   -0.601   -0.507   -0.323 1.002  1800
mu[115,4]             0.764   0.130    0.509    0.677    0.768    0.850    1.014 1.001  4000
mu[116,4]            -0.600   0.143   -0.892   -0.694   -0.601   -0.507   -0.323 1.002  1800
mu[117,4]            -0.600   0.143   -0.892   -0.694   -0.601   -0.507   -0.323 1.002  1800
mu[118,4]             0.764   0.130    0.509    0.677    0.768    0.850    1.014 1.001  4000
mu[119,4]            -0.035   0.155   -0.334   -0.140   -0.037    0.070    0.269 1.001  4000
mu[120,4]            -0.600   0.143   -0.892   -0.694   -0.601   -0.507   -0.323 1.002  1800
mu[121,4]            -0.035   0.155   -0.334   -0.140   -0.037    0.070    0.269 1.001  4000
mu[122,4]             0.764   0.130    0.509    0.677    0.768    0.850    1.014 1.001  4000
mu[123,4]            -0.035   0.155   -0.334   -0.140   -0.037    0.070    0.269 1.001  4000
mu[124,4]             0.764   0.130    0.509    0.677    0.768    0.850    1.014 1.001  4000
mu[125,4]            -0.315   0.149   -0.608   -0.414   -0.317   -0.215   -0.027 1.001  2800
mu[126,4]             0.764   0.130    0.509    0.677    0.768    0.850    1.014 1.001  4000
mu[127,4]            -0.035   0.155   -0.334   -0.140   -0.037    0.070    0.269 1.001  4000
mu[128,4]            -0.600   0.143   -0.892   -0.694   -0.601   -0.507   -0.323 1.002  1800
mu[129,4]             0.519   0.126    0.276    0.432    0.520    0.604    0.763 1.002  2000
mu[130,4]            -0.600   0.143   -0.892   -0.694   -0.601   -0.507   -0.323 1.002  1800
mu[131,4]             0.764   0.130    0.509    0.677    0.768    0.850    1.014 1.001  4000
mu[132,4]            -0.035   0.155   -0.334   -0.140   -0.037    0.070    0.269 1.001  4000
mu[133,4]             0.764   0.130    0.509    0.677    0.768    0.850    1.014 1.001  4000
mu[134,4]            -0.035   0.155   -0.334   -0.140   -0.037    0.070    0.269 1.001  4000
mu[135,4]             0.764   0.130    0.509    0.677    0.768    0.850    1.014 1.001  4000
mu[136,4]             0.519   0.126    0.276    0.432    0.520    0.604    0.763 1.002  2000
mu[137,4]             0.519   0.126    0.276    0.432    0.520    0.604    0.763 1.002  2000
mu[138,4]            -0.035   0.155   -0.334   -0.140   -0.037    0.070    0.269 1.001  4000
mu[139,4]            -0.600   0.143   -0.892   -0.694   -0.601   -0.507   -0.323 1.002  1800
mu[140,4]             0.519   0.126    0.276    0.432    0.520    0.604    0.763 1.002  2000
mu[141,4]            -0.198   0.139   -0.474   -0.292   -0.198   -0.103    0.072 1.001  4000
mu[142,4]            -0.198   0.139   -0.474   -0.292   -0.198   -0.103    0.072 1.001  4000
mu[143,4]            -0.198   0.139   -0.474   -0.292   -0.198   -0.103    0.072 1.001  4000
mu[144,4]            -0.437   0.186   -0.806   -0.560   -0.436   -0.313   -0.064 1.001  2900
mu[145,4]             1.177   0.191    0.799    1.048    1.181    1.304    1.545 1.003  1200
mu[146,4]            -0.723   0.138   -1.002   -0.812   -0.726   -0.629   -0.453 1.001  4000
mu[147,4]             1.177   0.191    0.799    1.048    1.181    1.304    1.545 1.003  1200
mu[148,4]            -0.723   0.138   -1.002   -0.812   -0.726   -0.629   -0.453 1.001  4000
mu[149,4]             1.177   0.191    0.799    1.048    1.181    1.304    1.545 1.003  1200
mu[150,4]            -0.723   0.138   -1.002   -0.812   -0.726   -0.629   -0.453 1.001  4000
mu[151,4]            -0.723   0.138   -1.002   -0.812   -0.726   -0.629   -0.453 1.001  4000
mu[152,4]             0.101   0.214   -0.322   -0.043    0.104    0.244    0.520 1.002  2300
mu[153,4]             0.101   0.214   -0.322   -0.043    0.104    0.244    0.520 1.002  2300
mu[154,4]             0.101   0.214   -0.322   -0.043    0.104    0.244    0.520 1.002  2300
mu[155,4]             0.101   0.214   -0.322   -0.043    0.104    0.244    0.520 1.002  2300
mu[156,4]             0.101   0.214   -0.322   -0.043    0.104    0.244    0.520 1.002  2300
mu[157,4]             0.101   0.214   -0.322   -0.043    0.104    0.244    0.520 1.002  2300
mu[158,4]             0.101   0.214   -0.322   -0.043    0.104    0.244    0.520 1.002  2300
mu[159,4]             0.101   0.214   -0.322   -0.043    0.104    0.244    0.520 1.002  2300
mu[160,4]             0.525   0.208    0.116    0.384    0.525    0.663    0.934 1.001  4000
mu[161,4]             0.303   0.214   -0.124    0.157    0.304    0.451    0.716 1.000  4000
mu[162,4]             0.187   0.220   -0.243    0.040    0.193    0.332    0.621 1.000  4000
mu[163,4]             0.525   0.208    0.116    0.384    0.525    0.663    0.934 1.001  4000
mu[164,4]             0.303   0.214   -0.124    0.157    0.304    0.451    0.716 1.000  4000
mu[165,4]            -0.525   0.149   -0.823   -0.622   -0.522   -0.427   -0.237 1.002  1800
mu[166,4]             0.525   0.208    0.116    0.384    0.525    0.663    0.934 1.001  4000
mu[167,4]             0.187   0.220   -0.243    0.040    0.193    0.332    0.621 1.000  4000
mu[168,4]             0.303   0.214   -0.124    0.157    0.304    0.451    0.716 1.000  4000
mu[169,4]            -0.525   0.149   -0.823   -0.622   -0.522   -0.427   -0.237 1.002  1800
mu[170,4]            -0.525   0.149   -0.823   -0.622   -0.522   -0.427   -0.237 1.002  1800
mu[171,4]             0.303   0.214   -0.124    0.157    0.304    0.451    0.716 1.000  4000
mu[172,4]             0.303   0.214   -0.124    0.157    0.304    0.451    0.716 1.000  4000
mu[173,4]            -0.525   0.149   -0.823   -0.622   -0.522   -0.427   -0.237 1.002  1800
mu[174,4]             0.187   0.220   -0.243    0.040    0.193    0.332    0.621 1.000  4000
mu[175,4]             0.525   0.208    0.116    0.384    0.525    0.663    0.934 1.001  4000
mu[176,4]             0.187   0.220   -0.243    0.040    0.193    0.332    0.621 1.000  4000
mu[177,4]            -0.525   0.149   -0.823   -0.622   -0.522   -0.427   -0.237 1.002  1800
mu[178,4]            -0.525   0.149   -0.823   -0.622   -0.522   -0.427   -0.237 1.002  1800
mu[179,4]             0.525   0.208    0.116    0.384    0.525    0.663    0.934 1.001  4000
mu[180,4]            -0.525   0.149   -0.823   -0.622   -0.522   -0.427   -0.237 1.002  1800
mu[181,4]            -0.525   0.149   -0.823   -0.622   -0.522   -0.427   -0.237 1.002  1800
mu[182,4]             0.187   0.220   -0.243    0.040    0.193    0.332    0.621 1.000  4000
mu[183,4]             0.303   0.214   -0.124    0.157    0.304    0.451    0.716 1.000  4000
mu[184,4]             0.187   0.220   -0.243    0.040    0.193    0.332    0.621 1.000  4000
mu[185,4]             0.303   0.214   -0.124    0.157    0.304    0.451    0.716 1.000  4000
mu[186,4]             0.187   0.220   -0.243    0.040    0.193    0.332    0.621 1.000  4000
mu[187,4]             0.525   0.208    0.116    0.384    0.525    0.663    0.934 1.001  4000
mu[188,4]             0.187   0.220   -0.243    0.040    0.193    0.332    0.621 1.000  4000
mu[189,4]             0.303   0.214   -0.124    0.157    0.304    0.451    0.716 1.000  4000
mu[190,4]            -0.582   0.222   -1.019   -0.729   -0.580   -0.435   -0.150 1.001  4000
mu[191,4]            -0.582   0.222   -1.019   -0.729   -0.580   -0.435   -0.150 1.001  4000
mu[192,4]            -0.582   0.222   -1.019   -0.729   -0.580   -0.435   -0.150 1.001  4000
mu[193,4]            -0.582   0.222   -1.019   -0.729   -0.580   -0.435   -0.150 1.001  4000
mu[194,4]            -0.582   0.222   -1.019   -0.729   -0.580   -0.435   -0.150 1.001  4000
mu[195,4]            -0.582   0.222   -1.019   -0.729   -0.580   -0.435   -0.150 1.001  4000
mu[196,4]            -0.582   0.222   -1.019   -0.729   -0.580   -0.435   -0.150 1.001  4000
mu[197,4]            -0.582   0.222   -1.019   -0.729   -0.580   -0.435   -0.150 1.001  4000
mu[198,4]            -0.345   0.218   -0.774   -0.491   -0.342   -0.200    0.076 1.001  4000
mu[199,4]            -0.345   0.218   -0.774   -0.491   -0.342   -0.200    0.076 1.001  4000
mu[200,4]            -0.345   0.218   -0.774   -0.491   -0.342   -0.200    0.076 1.001  4000
mu[201,4]            -0.345   0.218   -0.774   -0.491   -0.342   -0.200    0.076 1.001  4000
mu[202,4]            -0.345   0.218   -0.774   -0.491   -0.342   -0.200    0.076 1.001  4000
mu[203,4]            -0.345   0.218   -0.774   -0.491   -0.342   -0.200    0.076 1.001  4000
mu[204,4]            -0.345   0.218   -0.774   -0.491   -0.342   -0.200    0.076 1.001  4000
mu[205,4]            -0.345   0.218   -0.774   -0.491   -0.342   -0.200    0.076 1.001  4000
mu[206,4]             0.742   0.130    0.489    0.654    0.746    0.828    0.994 1.001  4000
mu[207,4]             0.742   0.130    0.489    0.654    0.746    0.828    0.994 1.001  4000
mu[208,4]            -0.712   0.217   -1.128   -0.859   -0.712   -0.563   -0.290 1.001  2800
mu[209,4]            -0.712   0.217   -1.128   -0.859   -0.712   -0.563   -0.290 1.001  2800
mu[210,4]            -0.712   0.217   -1.128   -0.859   -0.712   -0.563   -0.290 1.001  2800
mu[211,4]             0.742   0.130    0.489    0.654    0.746    0.828    0.994 1.001  4000
mu[212,4]             0.742   0.130    0.489    0.654    0.746    0.828    0.994 1.001  4000
mu[213,4]            -0.057   0.155   -0.356   -0.162   -0.059    0.047    0.246 1.001  4000
mu[214,4]            -0.712   0.217   -1.128   -0.859   -0.712   -0.563   -0.290 1.001  2800
mu[215,4]            -0.712   0.217   -1.128   -0.859   -0.712   -0.563   -0.290 1.001  2800
mu[216,4]             0.742   0.130    0.489    0.654    0.746    0.828    0.994 1.001  4000
mu[217,4]             0.498   0.126    0.252    0.410    0.498    0.584    0.741 1.002  2000
mu[218,4]             0.498   0.126    0.252    0.410    0.498    0.584    0.741 1.002  2000
mu[219,4]            -0.057   0.155   -0.356   -0.162   -0.059    0.047    0.246 1.001  4000
mu[220,4]             0.498   0.126    0.252    0.410    0.498    0.584    0.741 1.002  2000
mu[221,4]             0.498   0.126    0.252    0.410    0.498    0.584    0.741 1.002  2000
mu[222,4]            -0.712   0.217   -1.128   -0.859   -0.712   -0.563   -0.290 1.001  2800
mu[223,4]            -0.712   0.217   -1.128   -0.859   -0.712   -0.563   -0.290 1.001  2800
mu[224,4]            -0.057   0.155   -0.356   -0.162   -0.059    0.047    0.246 1.001  4000
mu[225,4]             0.742   0.130    0.489    0.654    0.746    0.828    0.994 1.001  4000
mu[226,4]            -0.057   0.155   -0.356   -0.162   -0.059    0.047    0.246 1.001  4000
mu[227,4]             0.498   0.126    0.252    0.410    0.498    0.584    0.741 1.002  2000
mu[228,4]            -0.057   0.155   -0.356   -0.162   -0.059    0.047    0.246 1.001  4000
mu[229,4]            -0.057   0.155   -0.356   -0.162   -0.059    0.047    0.246 1.001  4000
mu[230,4]            -0.057   0.155   -0.356   -0.162   -0.059    0.047    0.246 1.001  4000
mu[231,4]             0.742   0.130    0.489    0.654    0.746    0.828    0.994 1.001  4000
mu[232,4]            -0.712   0.217   -1.128   -0.859   -0.712   -0.563   -0.290 1.001  2800
mu[233,4]             0.742   0.130    0.489    0.654    0.746    0.828    0.994 1.001  4000
mu[234,4]             0.498   0.126    0.252    0.410    0.498    0.584    0.741 1.002  2000
mu[235,4]             0.498   0.126    0.252    0.410    0.498    0.584    0.741 1.002  2000
mu[236,4]            -0.057   0.155   -0.356   -0.162   -0.059    0.047    0.246 1.001  4000
mu[237,4]             0.498   0.126    0.252    0.410    0.498    0.584    0.741 1.002  2000
mu[238,4]            -0.110   0.179   -0.456   -0.232   -0.106    0.010    0.245 1.002  2300
mu[239,4]            -0.110   0.179   -0.456   -0.232   -0.106    0.010    0.245 1.002  2300
mu[240,4]            -0.110   0.179   -0.456   -0.232   -0.106    0.010    0.245 1.002  2300
mu[241,4]            -0.110   0.179   -0.456   -0.232   -0.106    0.010    0.245 1.002  2300
mu[242,4]            -0.110   0.179   -0.456   -0.232   -0.106    0.010    0.245 1.002  2300
mu[243,4]            -0.110   0.179   -0.456   -0.232   -0.106    0.010    0.245 1.002  2300
mu[244,4]            -0.110   0.179   -0.456   -0.232   -0.106    0.010    0.245 1.002  2300
mu[245,4]            -0.110   0.179   -0.456   -0.232   -0.106    0.010    0.245 1.002  2300
mu[246,4]            -0.185   0.128   -0.437   -0.270   -0.185   -0.097    0.067 1.001  3100
mu[247,4]            -0.185   0.128   -0.437   -0.270   -0.185   -0.097    0.067 1.001  3100
mu[248,4]            -0.185   0.128   -0.437   -0.270   -0.185   -0.097    0.067 1.001  3100
mu[249,4]            -0.185   0.128   -0.437   -0.270   -0.185   -0.097    0.067 1.001  3100
mu[250,4]            -0.185   0.128   -0.437   -0.270   -0.185   -0.097    0.067 1.001  3100
mu[251,4]            -0.185   0.128   -0.437   -0.270   -0.185   -0.097    0.067 1.001  3100
mu[252,4]            -0.185   0.128   -0.437   -0.270   -0.185   -0.097    0.067 1.001  3100
mu[253,4]            -0.185   0.128   -0.437   -0.270   -0.185   -0.097    0.067 1.001  3100
mu[254,4]            -0.700   0.137   -0.975   -0.790   -0.702   -0.607   -0.431 1.001  4000
mu[255,4]             1.199   0.191    0.826    1.072    1.203    1.328    1.565 1.003  1200
mu[256,4]             1.199   0.191    0.826    1.072    1.203    1.328    1.565 1.003  1200
mu[257,4]            -0.700   0.137   -0.975   -0.790   -0.702   -0.607   -0.431 1.001  4000
mu[258,4]            -0.700   0.137   -0.975   -0.790   -0.702   -0.607   -0.431 1.001  4000
mu[259,4]            -0.700   0.137   -0.975   -0.790   -0.702   -0.607   -0.431 1.001  4000
mu[260,4]            -0.700   0.137   -0.975   -0.790   -0.702   -0.607   -0.431 1.001  4000
mu[261,4]             1.199   0.191    0.826    1.072    1.203    1.328    1.565 1.003  1200
mu[262,4]             1.199   0.191    0.826    1.072    1.203    1.328    1.565 1.003  1200
mu[263,4]             1.199   0.191    0.826    1.072    1.203    1.328    1.565 1.003  1200
mu[264,4]             1.199   0.191    0.826    1.072    1.203    1.328    1.565 1.003  1200
mu[265,4]            -0.700   0.137   -0.975   -0.790   -0.702   -0.607   -0.431 1.001  4000
mu[266,4]             1.199   0.191    0.826    1.072    1.203    1.328    1.565 1.003  1200
mu[267,4]            -0.700   0.137   -0.975   -0.790   -0.702   -0.607   -0.431 1.001  4000
mu[268,4]            -0.700   0.137   -0.975   -0.790   -0.702   -0.607   -0.431 1.001  4000
mu[269,4]             1.199   0.191    0.826    1.072    1.203    1.328    1.565 1.003  1200
mu[270,4]             1.356   0.298    0.761    1.155    1.356    1.558    1.936 1.001  4000
mu[271,4]             1.356   0.298    0.761    1.155    1.356    1.558    1.936 1.001  4000
mu[272,4]             1.356   0.298    0.761    1.155    1.356    1.558    1.936 1.001  4000
mu[273,4]             1.356   0.298    0.761    1.155    1.356    1.558    1.936 1.001  4000
mu[274,4]             0.384   0.144    0.107    0.289    0.383    0.483    0.676 1.002  2000
mu[275,4]             0.384   0.144    0.107    0.289    0.383    0.483    0.676 1.002  2000
mu[276,4]             0.508   0.217    0.076    0.360    0.508    0.654    0.918 1.001  4000
mu[277,4]             0.384   0.144    0.107    0.289    0.383    0.483    0.676 1.002  2000
mu[278,4]             0.384   0.144    0.107    0.289    0.383    0.483    0.676 1.002  2000
mu[279,4]             0.508   0.217    0.076    0.360    0.508    0.654    0.918 1.001  4000
mu[280,4]             0.508   0.217    0.076    0.360    0.508    0.654    0.918 1.001  4000
mu[281,4]            -0.718   0.171   -1.053   -0.834   -0.716   -0.600   -0.380 1.001  4000
mu[282,4]             0.508   0.217    0.076    0.360    0.508    0.654    0.918 1.001  4000
mu[283,4]             0.508   0.217    0.076    0.360    0.508    0.654    0.918 1.001  4000
mu[284,4]             0.384   0.144    0.107    0.289    0.383    0.483    0.676 1.002  2000
mu[285,4]            -0.718   0.171   -1.053   -0.834   -0.716   -0.600   -0.380 1.001  4000
mu[286,4]             0.384   0.144    0.107    0.289    0.383    0.483    0.676 1.002  2000
mu[287,4]             0.384   0.144    0.107    0.289    0.383    0.483    0.676 1.002  2000
mu[288,4]            -0.953   0.134   -1.217   -1.040   -0.954   -0.866   -0.687 1.001  4000
mu[289,4]            -0.718   0.171   -1.053   -0.834   -0.716   -0.600   -0.380 1.001  4000
mu[290,4]             0.508   0.217    0.076    0.360    0.508    0.654    0.918 1.001  4000
mu[291,4]            -0.953   0.134   -1.217   -1.040   -0.954   -0.866   -0.687 1.001  4000
mu[292,4]             0.384   0.144    0.107    0.289    0.383    0.483    0.676 1.002  2000
mu[293,4]            -0.718   0.171   -1.053   -0.834   -0.716   -0.600   -0.380 1.001  4000
mu[294,4]            -0.718   0.171   -1.053   -0.834   -0.716   -0.600   -0.380 1.001  4000
mu[295,4]            -0.953   0.134   -1.217   -1.040   -0.954   -0.866   -0.687 1.001  4000
mu[296,4]            -0.953   0.134   -1.217   -1.040   -0.954   -0.866   -0.687 1.001  4000
mu[297,4]             0.508   0.217    0.076    0.360    0.508    0.654    0.918 1.001  4000
mu[298,4]            -0.953   0.134   -1.217   -1.040   -0.954   -0.866   -0.687 1.001  4000
mu[299,4]            -0.718   0.171   -1.053   -0.834   -0.716   -0.600   -0.380 1.001  4000
mu[300,4]            -0.718   0.171   -1.053   -0.834   -0.716   -0.600   -0.380 1.001  4000
mu[301,4]             0.508   0.217    0.076    0.360    0.508    0.654    0.918 1.001  4000
mu[302,4]            -0.480   0.159   -0.794   -0.587   -0.483   -0.374   -0.165 1.001  4000
mu[303,4]            -0.718   0.171   -1.053   -0.834   -0.716   -0.600   -0.380 1.001  4000
mu[304,4]            -0.953   0.134   -1.217   -1.040   -0.954   -0.866   -0.687 1.001  4000
mu[305,4]            -0.480   0.159   -0.794   -0.587   -0.483   -0.374   -0.165 1.001  4000
mu[306,4]            -0.953   0.134   -1.217   -1.040   -0.954   -0.866   -0.687 1.001  4000
mu[307,4]            -0.480   0.159   -0.794   -0.587   -0.483   -0.374   -0.165 1.001  4000
mu[308,4]            -0.480   0.159   -0.794   -0.587   -0.483   -0.374   -0.165 1.001  4000
mu[309,4]            -0.953   0.134   -1.217   -1.040   -0.954   -0.866   -0.687 1.001  4000
mu[310,4]            -0.480   0.159   -0.794   -0.587   -0.483   -0.374   -0.165 1.001  4000
mu[311,4]            -0.480   0.159   -0.794   -0.587   -0.483   -0.374   -0.165 1.001  4000
mu[312,4]            -0.480   0.159   -0.794   -0.587   -0.483   -0.374   -0.165 1.001  4000
mu[313,4]            -0.480   0.159   -0.794   -0.587   -0.483   -0.374   -0.165 1.001  4000
mu[314,4]            -0.718   0.290   -1.272   -0.917   -0.720   -0.519   -0.164 1.001  2800
mu[315,4]            -0.718   0.290   -1.272   -0.917   -0.720   -0.519   -0.164 1.001  2800
mu[316,4]            -0.718   0.290   -1.272   -0.917   -0.720   -0.519   -0.164 1.001  2800
mu[317,4]            -0.718   0.290   -1.272   -0.917   -0.720   -0.519   -0.164 1.001  2800
mu[318,4]             0.988   0.163    0.669    0.878    0.988    1.099    1.300 1.004   880
mu[319,4]             0.988   0.163    0.669    0.878    0.988    1.099    1.300 1.004   880
mu[320,4]             0.988   0.163    0.669    0.878    0.988    1.099    1.300 1.004   880
mu[321,4]             0.988   0.163    0.669    0.878    0.988    1.099    1.300 1.004   880
mu[322,4]             0.988   0.163    0.669    0.878    0.988    1.099    1.300 1.004   880
mu[323,4]             0.988   0.163    0.669    0.878    0.988    1.099    1.300 1.004   880
mu[324,4]             0.988   0.163    0.669    0.878    0.988    1.099    1.300 1.004   880
mu[325,4]             0.988   0.163    0.669    0.878    0.988    1.099    1.300 1.004   880
mu[326,4]            -0.391   0.155   -0.702   -0.495   -0.391   -0.286   -0.078 1.002  2200
mu[327,4]            -0.344   0.173   -0.691   -0.462   -0.337   -0.229   -0.007 1.001  4000
mu[328,4]            -0.344   0.173   -0.691   -0.462   -0.337   -0.229   -0.007 1.001  4000
mu[329,4]            -0.391   0.155   -0.702   -0.495   -0.391   -0.286   -0.078 1.002  2200
mu[330,4]            -0.344   0.173   -0.691   -0.462   -0.337   -0.229   -0.007 1.001  4000
mu[331,4]            -0.391   0.155   -0.702   -0.495   -0.391   -0.286   -0.078 1.002  2200
mu[332,4]            -0.391   0.155   -0.702   -0.495   -0.391   -0.286   -0.078 1.002  2200
mu[333,4]            -0.391   0.155   -0.702   -0.495   -0.391   -0.286   -0.078 1.002  2200
mu[334,4]            -0.344   0.173   -0.691   -0.462   -0.337   -0.229   -0.007 1.001  4000
mu[335,4]            -0.391   0.155   -0.702   -0.495   -0.391   -0.286   -0.078 1.002  2200
mu[336,4]            -0.391   0.155   -0.702   -0.495   -0.391   -0.286   -0.078 1.002  2200
mu[337,4]            -0.344   0.173   -0.691   -0.462   -0.337   -0.229   -0.007 1.001  4000
mu[338,4]            -0.391   0.155   -0.702   -0.495   -0.391   -0.286   -0.078 1.002  2200
mu[339,4]            -0.344   0.173   -0.691   -0.462   -0.337   -0.229   -0.007 1.001  4000
mu[340,4]            -0.344   0.173   -0.691   -0.462   -0.337   -0.229   -0.007 1.001  4000
mu[341,4]            -0.344   0.173   -0.691   -0.462   -0.337   -0.229   -0.007 1.001  4000
mu[342,4]             0.772   0.161    0.464    0.663    0.771    0.882    1.082 1.004   920
mu[343,4]             0.772   0.161    0.464    0.663    0.771    0.882    1.082 1.004   920
mu[344,4]             0.772   0.161    0.464    0.663    0.771    0.882    1.082 1.004   920
mu[345,4]             0.772   0.161    0.464    0.663    0.771    0.882    1.082 1.004   920
mu[346,4]             0.772   0.161    0.464    0.663    0.771    0.882    1.082 1.004   920
mu[347,4]             0.772   0.161    0.464    0.663    0.771    0.882    1.082 1.004   920
mu[348,4]             0.772   0.161    0.464    0.663    0.771    0.882    1.082 1.004   920
mu[349,4]             0.772   0.161    0.464    0.663    0.771    0.882    1.082 1.004   920
mu[350,4]             0.807   0.218    0.378    0.663    0.806    0.955    1.235 1.002  2100
mu[351,4]             0.807   0.218    0.378    0.663    0.806    0.955    1.235 1.002  2100
mu[352,4]             0.807   0.218    0.378    0.663    0.806    0.955    1.235 1.002  2100
mu[353,4]             0.807   0.218    0.378    0.663    0.806    0.955    1.235 1.002  2100
mu[354,4]             0.807   0.218    0.378    0.663    0.806    0.955    1.235 1.002  2100
mu[355,4]             0.807   0.218    0.378    0.663    0.806    0.955    1.235 1.002  2100
mu[356,4]             0.807   0.218    0.378    0.663    0.806    0.955    1.235 1.002  2100
mu[357,4]             0.807   0.218    0.378    0.663    0.806    0.955    1.235 1.002  2100
mu[358,4]            -0.454   0.223   -0.892   -0.606   -0.456   -0.306   -0.023 1.001  4000
mu[359,4]            -0.454   0.223   -0.892   -0.606   -0.456   -0.306   -0.023 1.001  4000
mu[360,4]            -0.454   0.223   -0.892   -0.606   -0.456   -0.306   -0.023 1.001  4000
mu[361,4]            -0.454   0.223   -0.892   -0.606   -0.456   -0.306   -0.023 1.001  4000
mu[362,4]            -0.454   0.223   -0.892   -0.606   -0.456   -0.306   -0.023 1.001  4000
mu[363,4]            -0.454   0.223   -0.892   -0.606   -0.456   -0.306   -0.023 1.001  4000
mu[364,4]            -0.454   0.223   -0.892   -0.606   -0.456   -0.306   -0.023 1.001  4000
mu[365,4]            -0.454   0.223   -0.892   -0.606   -0.456   -0.306   -0.023 1.001  4000
mu[366,4]            -0.416   0.249   -0.905   -0.584   -0.418   -0.249    0.071 1.002  2300
mu[367,4]            -0.416   0.249   -0.905   -0.584   -0.418   -0.249    0.071 1.002  2300
mu[368,4]            -0.416   0.249   -0.905   -0.584   -0.418   -0.249    0.071 1.002  2300
mu[369,4]            -0.416   0.249   -0.905   -0.584   -0.418   -0.249    0.071 1.002  2300
mu[370,4]            -0.729   0.135   -0.992   -0.820   -0.731   -0.636   -0.464 1.001  4000
mu[371,4]            -0.493   0.173   -0.838   -0.609   -0.491   -0.373   -0.160 1.001  4000
mu[372,4]            -0.729   0.135   -0.992   -0.820   -0.731   -0.636   -0.464 1.001  4000
mu[373,4]            -0.493   0.173   -0.838   -0.609   -0.491   -0.373   -0.160 1.001  4000
mu[374,4]            -0.493   0.173   -0.838   -0.609   -0.491   -0.373   -0.160 1.001  4000
mu[375,4]            -0.729   0.135   -0.992   -0.820   -0.731   -0.636   -0.464 1.001  4000
mu[376,4]            -0.729   0.135   -0.992   -0.820   -0.731   -0.636   -0.464 1.001  4000
mu[377,4]            -0.256   0.160   -0.563   -0.362   -0.258   -0.150    0.064 1.001  4000
mu[378,4]            -0.256   0.160   -0.563   -0.362   -0.258   -0.150    0.064 1.001  4000
mu[379,4]            -0.256   0.160   -0.563   -0.362   -0.258   -0.150    0.064 1.001  4000
mu[380,4]            -0.493   0.173   -0.838   -0.609   -0.491   -0.373   -0.160 1.001  4000
mu[381,4]            -0.493   0.173   -0.838   -0.609   -0.491   -0.373   -0.160 1.001  4000
mu[382,4]            -0.729   0.135   -0.992   -0.820   -0.731   -0.636   -0.464 1.001  4000
mu[383,4]            -0.256   0.160   -0.563   -0.362   -0.258   -0.150    0.064 1.001  4000
mu[384,4]            -0.493   0.173   -0.838   -0.609   -0.491   -0.373   -0.160 1.001  4000
mu[385,4]            -0.729   0.135   -0.992   -0.820   -0.731   -0.636   -0.464 1.001  4000
mu[386,4]            -0.729   0.135   -0.992   -0.820   -0.731   -0.636   -0.464 1.001  4000
mu[387,4]            -0.256   0.160   -0.563   -0.362   -0.258   -0.150    0.064 1.001  4000
mu[388,4]            -0.729   0.135   -0.992   -0.820   -0.731   -0.636   -0.464 1.001  4000
mu[389,4]            -0.256   0.160   -0.563   -0.362   -0.258   -0.150    0.064 1.001  4000
mu[390,4]            -0.256   0.160   -0.563   -0.362   -0.258   -0.150    0.064 1.001  4000
mu[391,4]            -0.256   0.160   -0.563   -0.362   -0.258   -0.150    0.064 1.001  4000
mu[392,4]            -0.864   0.149   -1.152   -0.964   -0.865   -0.764   -0.574 1.001  4000
mu[393,4]            -0.506   0.218   -0.926   -0.654   -0.505   -0.364   -0.075 1.000  4000
mu[394,4]            -0.506   0.218   -0.926   -0.654   -0.505   -0.364   -0.075 1.000  4000
mu[395,4]            -0.864   0.149   -1.152   -0.964   -0.865   -0.764   -0.574 1.001  4000
mu[396,4]            -0.506   0.218   -0.926   -0.654   -0.505   -0.364   -0.075 1.000  4000
mu[397,4]            -0.864   0.149   -1.152   -0.964   -0.865   -0.764   -0.574 1.001  4000
mu[398,4]            -0.864   0.149   -1.152   -0.964   -0.865   -0.764   -0.574 1.001  4000
mu[399,4]            -0.506   0.218   -0.926   -0.654   -0.505   -0.364   -0.075 1.000  4000
mu[400,4]            -0.506   0.218   -0.926   -0.654   -0.505   -0.364   -0.075 1.000  4000
mu[401,4]            -0.864   0.149   -1.152   -0.964   -0.865   -0.764   -0.574 1.001  4000
mu[402,4]            -0.864   0.149   -1.152   -0.964   -0.865   -0.764   -0.574 1.001  4000
mu[403,4]            -0.864   0.149   -1.152   -0.964   -0.865   -0.764   -0.574 1.001  4000
mu[404,4]            -0.506   0.218   -0.926   -0.654   -0.505   -0.364   -0.075 1.000  4000
mu[405,4]            -0.506   0.218   -0.926   -0.654   -0.505   -0.364   -0.075 1.000  4000
mu[406,4]            -0.506   0.218   -0.926   -0.654   -0.505   -0.364   -0.075 1.000  4000
mu[407,4]            -0.864   0.149   -1.152   -0.964   -0.865   -0.764   -0.574 1.001  4000
mu[408,4]             0.018   0.222   -0.413   -0.131    0.021    0.165    0.451 1.001  3400
mu[409,4]             0.018   0.222   -0.413   -0.131    0.021    0.165    0.451 1.001  3400
mu[410,4]            -0.165   0.133   -0.428   -0.252   -0.166   -0.074    0.086 1.001  4000
mu[411,4]             0.018   0.222   -0.413   -0.131    0.021    0.165    0.451 1.001  3400
mu[412,4]            -0.165   0.133   -0.428   -0.252   -0.166   -0.074    0.086 1.001  4000
mu[413,4]             0.018   0.222   -0.413   -0.131    0.021    0.165    0.451 1.001  3400
mu[414,4]            -0.165   0.133   -0.428   -0.252   -0.166   -0.074    0.086 1.001  4000
mu[415,4]            -0.165   0.133   -0.428   -0.252   -0.166   -0.074    0.086 1.001  4000
mu[416,4]             0.018   0.222   -0.413   -0.131    0.021    0.165    0.451 1.001  3400
mu[417,4]            -0.165   0.133   -0.428   -0.252   -0.166   -0.074    0.086 1.001  4000
mu[418,4]            -0.165   0.133   -0.428   -0.252   -0.166   -0.074    0.086 1.001  4000
mu[419,4]             0.018   0.222   -0.413   -0.131    0.021    0.165    0.451 1.001  3400
mu[420,4]             0.018   0.222   -0.413   -0.131    0.021    0.165    0.451 1.001  3400
mu[421,4]            -0.165   0.133   -0.428   -0.252   -0.166   -0.074    0.086 1.001  4000
mu[422,4]             0.018   0.222   -0.413   -0.131    0.021    0.165    0.451 1.001  3400
mu[423,4]            -0.263   0.126   -0.508   -0.346   -0.264   -0.175   -0.018 1.001  3900
mu[424,4]            -0.263   0.126   -0.508   -0.346   -0.264   -0.175   -0.018 1.001  3900
mu[425,4]            -0.263   0.126   -0.508   -0.346   -0.264   -0.175   -0.018 1.001  3900
mu[426,4]            -0.263   0.126   -0.508   -0.346   -0.264   -0.175   -0.018 1.001  3900
mu[427,4]            -0.263   0.126   -0.508   -0.346   -0.264   -0.175   -0.018 1.001  3900
mu[428,4]            -0.263   0.126   -0.508   -0.346   -0.264   -0.175   -0.018 1.001  3900
mu[429,4]            -0.263   0.126   -0.508   -0.346   -0.264   -0.175   -0.018 1.001  3900
mu[430,4]            -0.263   0.126   -0.508   -0.346   -0.264   -0.175   -0.018 1.001  3900
mu[431,4]             0.805   0.187    0.433    0.678    0.809    0.932    1.173 1.001  3300
mu[432,4]             0.805   0.187    0.433    0.678    0.809    0.932    1.173 1.001  3300
mu[433,4]            -0.114   0.219   -0.535   -0.267   -0.113    0.033    0.312 1.001  4000
mu[434,4]             0.805   0.187    0.433    0.678    0.809    0.932    1.173 1.001  3300
mu[435,4]            -0.114   0.219   -0.535   -0.267   -0.113    0.033    0.312 1.001  4000
mu[436,4]            -0.114   0.219   -0.535   -0.267   -0.113    0.033    0.312 1.001  4000
mu[437,4]            -0.114   0.219   -0.535   -0.267   -0.113    0.033    0.312 1.001  4000
mu[438,4]             0.805   0.187    0.433    0.678    0.809    0.932    1.173 1.001  3300
mu[439,4]            -0.114   0.219   -0.535   -0.267   -0.113    0.033    0.312 1.001  4000
mu[440,4]            -0.148   0.172   -0.482   -0.265   -0.150   -0.032    0.189 1.001  4000
mu[441,4]             0.805   0.187    0.433    0.678    0.809    0.932    1.173 1.001  3300
mu[442,4]            -0.114   0.219   -0.535   -0.267   -0.113    0.033    0.312 1.001  4000
mu[443,4]            -0.148   0.172   -0.482   -0.265   -0.150   -0.032    0.189 1.001  4000
mu[444,4]             0.805   0.187    0.433    0.678    0.809    0.932    1.173 1.001  3300
mu[445,4]            -0.114   0.219   -0.535   -0.267   -0.113    0.033    0.312 1.001  4000
mu[446,4]            -0.148   0.172   -0.482   -0.265   -0.150   -0.032    0.189 1.001  4000
mu[447,4]            -0.114   0.219   -0.535   -0.267   -0.113    0.033    0.312 1.001  4000
mu[448,4]            -0.148   0.172   -0.482   -0.265   -0.150   -0.032    0.189 1.001  4000
mu[449,4]             0.805   0.187    0.433    0.678    0.809    0.932    1.173 1.001  3300
mu[450,4]            -0.148   0.172   -0.482   -0.265   -0.150   -0.032    0.189 1.001  4000
mu[451,4]             0.805   0.187    0.433    0.678    0.809    0.932    1.173 1.001  3300
mu[452,4]            -0.148   0.172   -0.482   -0.265   -0.150   -0.032    0.189 1.001  4000
mu[453,4]            -0.148   0.172   -0.482   -0.265   -0.150   -0.032    0.189 1.001  4000
mu[454,4]            -0.148   0.172   -0.482   -0.265   -0.150   -0.032    0.189 1.001  4000
mu[455,4]            -0.534   0.181   -0.883   -0.657   -0.532   -0.410   -0.179 1.002  2100
mu[456,4]             0.348   0.212   -0.062    0.208    0.345    0.492    0.755 1.001  4000
mu[457,4]             0.348   0.212   -0.062    0.208    0.345    0.492    0.755 1.001  4000
mu[458,4]             0.348   0.212   -0.062    0.208    0.345    0.492    0.755 1.001  4000
mu[459,4]            -0.534   0.181   -0.883   -0.657   -0.532   -0.410   -0.179 1.002  2100
mu[460,4]            -0.534   0.181   -0.883   -0.657   -0.532   -0.410   -0.179 1.002  2100
mu[461,4]            -0.534   0.181   -0.883   -0.657   -0.532   -0.410   -0.179 1.002  2100
mu[462,4]            -0.534   0.181   -0.883   -0.657   -0.532   -0.410   -0.179 1.002  2100
mu[463,4]            -0.534   0.181   -0.883   -0.657   -0.532   -0.410   -0.179 1.002  2100
mu[464,4]            -0.534   0.181   -0.883   -0.657   -0.532   -0.410   -0.179 1.002  2100
mu[465,4]            -0.534   0.181   -0.883   -0.657   -0.532   -0.410   -0.179 1.002  2100
mu[466,4]            -0.014   0.214   -0.433   -0.161   -0.017    0.130    0.413 1.001  4000
mu[467,4]            -0.014   0.214   -0.433   -0.161   -0.017    0.130    0.413 1.001  4000
mu[468,4]            -0.014   0.214   -0.433   -0.161   -0.017    0.130    0.413 1.001  4000
mu[469,4]            -0.014   0.214   -0.433   -0.161   -0.017    0.130    0.413 1.001  4000
mu[470,4]            -0.014   0.214   -0.433   -0.161   -0.017    0.130    0.413 1.001  4000
mu[471,4]            -0.014   0.214   -0.433   -0.161   -0.017    0.130    0.413 1.001  4000
mu[472,4]            -0.014   0.214   -0.433   -0.161   -0.017    0.130    0.413 1.001  4000
mu[473,4]            -0.014   0.214   -0.433   -0.161   -0.017    0.130    0.413 1.001  4000
mu[474,4]            -0.080   0.220   -0.519   -0.229   -0.077    0.069    0.342 1.001  3700
mu[475,4]            -0.080   0.220   -0.519   -0.229   -0.077    0.069    0.342 1.001  3700
mu[476,4]            -0.080   0.220   -0.519   -0.229   -0.077    0.069    0.342 1.001  3700
mu[477,4]            -0.080   0.220   -0.519   -0.229   -0.077    0.069    0.342 1.001  3700
mu[478,4]             0.641   0.137    0.372    0.548    0.644    0.734    0.907 1.001  4000
mu[479,4]             0.641   0.137    0.372    0.548    0.644    0.734    0.907 1.001  4000
mu[480,4]             0.091   0.214   -0.330   -0.051    0.092    0.234    0.508 1.001  4000
mu[481,4]             0.091   0.214   -0.330   -0.051    0.092    0.234    0.508 1.001  4000
mu[482,4]             0.091   0.214   -0.330   -0.051    0.092    0.234    0.508 1.001  4000
mu[483,4]             0.396   0.130    0.138    0.308    0.398    0.483    0.652 1.002  2600
mu[484,4]             0.396   0.130    0.138    0.308    0.398    0.483    0.652 1.002  2600
mu[485,4]             0.091   0.214   -0.330   -0.051    0.092    0.234    0.508 1.001  4000
mu[486,4]             0.091   0.214   -0.330   -0.051    0.092    0.234    0.508 1.001  4000
mu[487,4]             0.091   0.214   -0.330   -0.051    0.092    0.234    0.508 1.001  4000
mu[488,4]             0.396   0.130    0.138    0.308    0.398    0.483    0.652 1.002  2600
mu[489,4]             0.598   0.219    0.173    0.449    0.600    0.744    1.030 1.001  4000
mu[490,4]             0.091   0.214   -0.330   -0.051    0.092    0.234    0.508 1.001  4000
mu[491,4]             0.641   0.137    0.372    0.548    0.644    0.734    0.907 1.001  4000
mu[492,4]             0.396   0.130    0.138    0.308    0.398    0.483    0.652 1.002  2600
mu[493,4]             0.091   0.214   -0.330   -0.051    0.092    0.234    0.508 1.001  4000
mu[494,4]             0.598   0.219    0.173    0.449    0.600    0.744    1.030 1.001  4000
mu[495,4]             0.641   0.137    0.372    0.548    0.644    0.734    0.907 1.001  4000
mu[496,4]             0.641   0.137    0.372    0.548    0.644    0.734    0.907 1.001  4000
mu[497,4]             0.598   0.219    0.173    0.449    0.600    0.744    1.030 1.001  4000
mu[498,4]             0.598   0.219    0.173    0.449    0.600    0.744    1.030 1.001  4000
mu[499,4]             0.641   0.137    0.372    0.548    0.644    0.734    0.907 1.001  4000
mu[500,4]             0.598   0.219    0.173    0.449    0.600    0.744    1.030 1.001  4000
mu[501,4]             0.396   0.130    0.138    0.308    0.398    0.483    0.652 1.002  2600
mu[502,4]             0.641   0.137    0.372    0.548    0.644    0.734    0.907 1.001  4000
mu[503,4]             0.598   0.219    0.173    0.449    0.600    0.744    1.030 1.001  4000
mu[504,4]             0.598   0.219    0.173    0.449    0.600    0.744    1.030 1.001  4000
mu[505,4]             0.396   0.130    0.138    0.308    0.398    0.483    0.652 1.002  2600
mu[506,4]             0.396   0.130    0.138    0.308    0.398    0.483    0.652 1.002  2600
mu[507,4]             0.396   0.130    0.138    0.308    0.398    0.483    0.652 1.002  2600
mu[508,4]             0.598   0.219    0.173    0.449    0.600    0.744    1.030 1.001  4000
mu[509,4]             0.641   0.137    0.372    0.548    0.644    0.734    0.907 1.001  4000
mu[510,4]            -0.727   0.193   -1.097   -0.860   -0.724   -0.594   -0.358 1.001  3800
mu[511,4]            -0.727   0.193   -1.097   -0.860   -0.724   -0.594   -0.358 1.001  3800
mu[512,4]            -0.727   0.193   -1.097   -0.860   -0.724   -0.594   -0.358 1.001  3800
mu[513,4]            -0.727   0.193   -1.097   -0.860   -0.724   -0.594   -0.358 1.001  3800
mu[514,4]            -0.551   0.165   -0.867   -0.664   -0.550   -0.442   -0.226 1.002  2600
mu[515,4]            -0.551   0.165   -0.867   -0.664   -0.550   -0.442   -0.226 1.002  2600
mu[516,4]             0.163   0.161   -0.146    0.052    0.163    0.274    0.474 1.001  4000
mu[517,4]            -0.551   0.165   -0.867   -0.664   -0.550   -0.442   -0.226 1.002  2600
mu[518,4]             0.163   0.161   -0.146    0.052    0.163    0.274    0.474 1.001  4000
mu[519,4]             0.163   0.161   -0.146    0.052    0.163    0.274    0.474 1.001  4000
mu[520,4]             0.163   0.161   -0.146    0.052    0.163    0.274    0.474 1.001  4000
mu[521,4]            -0.472   0.175   -0.810   -0.591   -0.471   -0.352   -0.134 1.002  1400
mu[522,4]            -0.472   0.175   -0.810   -0.591   -0.471   -0.352   -0.134 1.002  1400
mu[523,4]            -0.472   0.175   -0.810   -0.591   -0.471   -0.352   -0.134 1.002  1400
mu[524,4]            -0.472   0.175   -0.810   -0.591   -0.471   -0.352   -0.134 1.002  1400
mu[525,4]            -0.472   0.175   -0.810   -0.591   -0.471   -0.352   -0.134 1.002  1400
mu[526,4]            -0.472   0.175   -0.810   -0.591   -0.471   -0.352   -0.134 1.002  1400
mu[527,4]            -0.472   0.175   -0.810   -0.591   -0.471   -0.352   -0.134 1.002  1400
mu[528,4]            -0.472   0.175   -0.810   -0.591   -0.471   -0.352   -0.134 1.002  1400
mu[529,4]            -0.488   0.164   -0.805   -0.599   -0.486   -0.376   -0.164 1.000  4000
mu[530,4]            -0.488   0.164   -0.805   -0.599   -0.486   -0.376   -0.164 1.000  4000
mu[531,4]            -0.488   0.164   -0.805   -0.599   -0.486   -0.376   -0.164 1.000  4000
mu[532,4]            -0.488   0.164   -0.805   -0.599   -0.486   -0.376   -0.164 1.000  4000
mu[533,4]            -0.488   0.164   -0.805   -0.599   -0.486   -0.376   -0.164 1.000  4000
mu[534,4]            -0.488   0.164   -0.805   -0.599   -0.486   -0.376   -0.164 1.000  4000
mu[535,4]            -0.488   0.164   -0.805   -0.599   -0.486   -0.376   -0.164 1.000  4000
mu[536,4]            -0.488   0.164   -0.805   -0.599   -0.486   -0.376   -0.164 1.000  4000
mu[537,4]             0.018   0.183   -0.344   -0.106    0.022    0.140    0.375 1.002  2200
mu[538,4]             0.018   0.183   -0.344   -0.106    0.022    0.140    0.375 1.002  2200
mu[539,4]             0.018   0.183   -0.344   -0.106    0.022    0.140    0.375 1.002  2200
mu[540,4]             0.018   0.183   -0.344   -0.106    0.022    0.140    0.375 1.002  2200
mu[541,4]             0.018   0.183   -0.344   -0.106    0.022    0.140    0.375 1.002  2200
mu[542,4]             0.018   0.183   -0.344   -0.106    0.022    0.140    0.375 1.002  2200
mu[543,4]             0.018   0.183   -0.344   -0.106    0.022    0.140    0.375 1.002  2200
mu[544,4]             0.018   0.183   -0.344   -0.106    0.022    0.140    0.375 1.002  2200
mu[545,4]             0.472   0.257   -0.025    0.298    0.475    0.643    0.966 1.001  4000
mu[546,4]             0.472   0.257   -0.025    0.298    0.475    0.643    0.966 1.001  4000
mu[547,4]             0.472   0.257   -0.025    0.298    0.475    0.643    0.966 1.001  4000
mu[548,4]             0.472   0.257   -0.025    0.298    0.475    0.643    0.966 1.001  4000
mu[549,4]             0.472   0.257   -0.025    0.298    0.475    0.643    0.966 1.001  4000
mu[550,4]             0.472   0.257   -0.025    0.298    0.475    0.643    0.966 1.001  4000
mu[551,4]            -0.540   0.216   -0.948   -0.688   -0.544   -0.397   -0.106 1.001  4000
mu[552,4]            -0.540   0.216   -0.948   -0.688   -0.544   -0.397   -0.106 1.001  4000
mu[553,4]            -0.540   0.216   -0.948   -0.688   -0.544   -0.397   -0.106 1.001  4000
mu[554,4]            -0.540   0.216   -0.948   -0.688   -0.544   -0.397   -0.106 1.001  4000
mu[555,4]            -0.540   0.216   -0.948   -0.688   -0.544   -0.397   -0.106 1.001  4000
mu[556,4]            -0.540   0.216   -0.948   -0.688   -0.544   -0.397   -0.106 1.001  4000
mu[557,4]            -0.540   0.216   -0.948   -0.688   -0.544   -0.397   -0.106 1.001  4000
mu[558,4]            -0.540   0.216   -0.948   -0.688   -0.544   -0.397   -0.106 1.001  4000
mu[559,4]            -0.002   0.169   -0.332   -0.116   -0.003    0.107    0.335 1.001  4000
mu[560,4]            -0.586   0.218   -1.029   -0.729   -0.590   -0.439   -0.157 1.001  3200
mu[561,4]            -0.002   0.169   -0.332   -0.116   -0.003    0.107    0.335 1.001  4000
mu[562,4]            -0.002   0.169   -0.332   -0.116   -0.003    0.107    0.335 1.001  4000
mu[563,4]            -0.586   0.218   -1.029   -0.729   -0.590   -0.439   -0.157 1.001  3200
mu[564,4]            -0.002   0.169   -0.332   -0.116   -0.003    0.107    0.335 1.001  4000
mu[565,4]            -0.586   0.218   -1.029   -0.729   -0.590   -0.439   -0.157 1.001  3200
mu[566,4]            -0.586   0.218   -1.029   -0.729   -0.590   -0.439   -0.157 1.001  3200
mu[567,4]            -0.586   0.218   -1.029   -0.729   -0.590   -0.439   -0.157 1.001  3200
mu[568,4]            -0.002   0.169   -0.332   -0.116   -0.003    0.107    0.335 1.001  4000
mu[569,4]            -0.002   0.169   -0.332   -0.116   -0.003    0.107    0.335 1.001  4000
mu[570,4]            -0.002   0.169   -0.332   -0.116   -0.003    0.107    0.335 1.001  4000
mu[571,4]            -0.586   0.218   -1.029   -0.729   -0.590   -0.439   -0.157 1.001  3200
mu[572,4]            -0.586   0.218   -1.029   -0.729   -0.590   -0.439   -0.157 1.001  3200
mu[573,4]            -0.002   0.169   -0.332   -0.116   -0.003    0.107    0.335 1.001  4000
mu[574,4]            -0.586   0.218   -1.029   -0.729   -0.590   -0.439   -0.157 1.001  3200
mu[575,4]            -0.866   0.185   -1.228   -0.994   -0.865   -0.737   -0.514 1.001  4000
mu[576,4]            -0.866   0.185   -1.228   -0.994   -0.865   -0.737   -0.514 1.001  4000
mu[577,4]            -0.866   0.185   -1.228   -0.994   -0.865   -0.737   -0.514 1.001  4000
mu[578,4]            -0.866   0.185   -1.228   -0.994   -0.865   -0.737   -0.514 1.001  4000
mu[579,4]            -0.866   0.185   -1.228   -0.994   -0.865   -0.737   -0.514 1.001  4000
mu[580,4]            -0.866   0.185   -1.228   -0.994   -0.865   -0.737   -0.514 1.001  4000
mu[581,4]            -0.866   0.185   -1.228   -0.994   -0.865   -0.737   -0.514 1.001  4000
mu[582,4]            -0.866   0.185   -1.228   -0.994   -0.865   -0.737   -0.514 1.001  4000
mu[583,4]             1.024   0.218    0.595    0.874    1.023    1.178    1.436 1.001  4000
mu[584,4]             1.024   0.218    0.595    0.874    1.023    1.178    1.436 1.001  4000
mu[585,4]             1.024   0.218    0.595    0.874    1.023    1.178    1.436 1.001  4000
mu[586,4]             1.024   0.218    0.595    0.874    1.023    1.178    1.436 1.001  4000
mu[587,4]             1.024   0.218    0.595    0.874    1.023    1.178    1.436 1.001  4000
mu[588,4]             1.024   0.218    0.595    0.874    1.023    1.178    1.436 1.001  4000
mu[589,4]             1.024   0.218    0.595    0.874    1.023    1.178    1.436 1.001  4000
mu[590,4]             1.024   0.218    0.595    0.874    1.023    1.178    1.436 1.001  4000
rho.resid[1,1]        1.000   0.000    1.000    1.000    1.000    1.000    1.000 1.000     1
rho.resid[2,1]        0.083   0.041    0.001    0.056    0.083    0.112    0.161 1.001  4000
rho.resid[3,1]        0.076   0.042   -0.005    0.047    0.077    0.104    0.158 1.002  2300
rho.resid[4,1]       -0.343   0.033   -0.403   -0.366   -0.343   -0.322   -0.276 1.001  4000
rho.resid[1,2]        0.083   0.041    0.001    0.056    0.083    0.112    0.161 1.001  4000
rho.resid[2,2]        1.000   0.000    1.000    1.000    1.000    1.000    1.000 1.000     1
rho.resid[3,2]        0.046   0.042   -0.037    0.018    0.046    0.074    0.128 1.002  2300
rho.resid[4,2]        0.018   0.041   -0.062   -0.011    0.018    0.047    0.099 1.001  4000
rho.resid[1,3]        0.076   0.042   -0.005    0.047    0.077    0.104    0.158 1.002  2300
rho.resid[2,3]        0.046   0.042   -0.037    0.018    0.046    0.074    0.128 1.002  2300
rho.resid[3,3]        1.000   0.000    1.000    1.000    1.000    1.000    1.000 1.000     1
rho.resid[4,3]       -0.011   0.042   -0.091   -0.040   -0.011    0.016    0.072 1.001  4000
rho.resid[1,4]       -0.343   0.033   -0.403   -0.366   -0.343   -0.322   -0.276 1.001  4000
rho.resid[2,4]        0.018   0.041   -0.062   -0.011    0.018    0.047    0.099 1.001  4000
rho.resid[3,4]       -0.011   0.042   -0.091   -0.040   -0.011    0.016    0.072 1.001  4000
rho.resid[4,4]        1.000   0.000    1.000    1.000    1.000    1.000    1.000 1.000     1
rho.species[1,1]      1.000   0.000    1.000    1.000    1.000    1.000    1.000 1.000     1
rho.species[2,1]     -0.057   0.114   -0.270   -0.138   -0.058    0.023    0.164 1.002  2000
rho.species[3,1]      0.139   0.096   -0.059    0.075    0.144    0.205    0.315 1.001  4000
rho.species[4,1]     -0.099   0.105   -0.291   -0.172   -0.104   -0.028    0.112 1.002  2600
rho.species[1,2]     -0.057   0.114   -0.270   -0.138   -0.058    0.023    0.164 1.002  2000
rho.species[2,2]      1.000   0.000    1.000    1.000    1.000    1.000    1.000 1.000     1
rho.species[3,2]      0.053   0.110   -0.169   -0.021    0.055    0.131    0.261 1.001  4000
rho.species[4,2]     -0.140   0.107   -0.334   -0.218   -0.143   -0.067    0.077 1.001  4000
rho.species[1,3]      0.139   0.096   -0.059    0.075    0.144    0.205    0.315 1.001  4000
rho.species[2,3]      0.053   0.110   -0.169   -0.021    0.055    0.131    0.261 1.001  4000
rho.species[3,3]      1.000   0.000    1.000    1.000    1.000    1.000    1.000 1.000     1
rho.species[4,3]      0.087   0.095   -0.103    0.021    0.089    0.155    0.264 1.002  2500
rho.species[1,4]     -0.099   0.105   -0.291   -0.172   -0.104   -0.028    0.112 1.002  2600
rho.species[2,4]     -0.140   0.107   -0.334   -0.218   -0.143   -0.067    0.077 1.001  4000
rho.species[3,4]      0.087   0.095   -0.103    0.021    0.089    0.155    0.264 1.002  2500
rho.species[4,4]      1.000   0.000    1.000    1.000    1.000    1.000    1.000 1.000     1
deviance           -493.142  25.832 -541.087 -510.612 -493.680 -476.211 -439.651 1.001  4000

For each parameter, n.eff is a crude measure of effective sample size,
and Rhat is the potential scale reduction factor (at convergence, Rhat=1).

DIC info (using the rule, pD = var(deviance)/2)
pD = 333.7 and DIC = -159.5
DIC is an estimate of expected predictive error (lower deviance is better).

 Dbar:  3844.248 
 Dhat:  3640.421 
 pD:    203.8275 
 DIC:   4048.076 
