Inference for Bugs model at "/home/kubo/ecoasHakkoda/winbugs/model.bug.txt", fit using winbugs, 3 chains, each with 20000 iterations (first 10000 discarded), n.thin = 50 n.sims = 600 iterations saved mean sd 2.5% 25% 50% 75% 97.5% Rhat n.eff betaB[1] 4.059 0.217 3.610 3.935 4.082 4.215 4.423 1.077 40 betaB[2] 0.014 0.104 -0.178 -0.057 0.013 0.086 0.207 1.001 600 betaB[3] 0.679 0.126 0.477 0.582 0.651 0.778 0.932 1.347 10 betaB[4] -0.073 0.053 -0.174 -0.108 -0.071 -0.035 0.027 1.118 21 betaS[1,1] 0.718 0.465 -0.247 0.449 0.736 1.010 1.586 0.999 600 betaS[1,2] 0.473 0.486 -0.479 0.159 0.450 0.769 1.448 1.005 300 betaS[1,3] 0.037 0.376 -0.723 -0.166 0.055 0.269 0.757 1.026 600 betaS[1,4] 1.017 0.317 0.455 0.789 1.014 1.232 1.684 1.008 220 betaS[1,5] 0.544 0.562 -0.517 0.178 0.537 0.899 1.683 1.006 300 betaS[1,6] -0.073 0.589 -1.319 -0.405 -0.050 0.320 0.932 1.000 600 betaS[1,7] -0.572 0.676 -2.028 -0.984 -0.529 -0.077 0.601 1.002 600 betaS[1,8] 0.091 0.495 -0.933 -0.226 0.116 0.412 1.051 1.006 250 betaS[1,9] -0.365 0.714 -1.887 -0.799 -0.323 0.156 0.915 1.002 600 betaS[1,10] 0.255 0.394 -0.507 0.000 0.260 0.494 1.086 1.013 180 betaS[1,11] -0.497 0.589 -1.786 -0.844 -0.443 -0.102 0.527 1.005 540 betaS[1,12] -0.530 0.703 -2.034 -0.952 -0.474 -0.041 0.665 1.000 600 betaS[1,13] -0.698 0.608 -2.057 -1.014 -0.648 -0.324 0.397 1.032 120 betaS[1,14] -0.563 0.765 -2.170 -1.073 -0.505 -0.036 0.834 1.003 590 betaS[1,15] 0.275 0.309 -0.281 0.077 0.258 0.487 0.923 1.013 140 betaS[1,16] 1.198 0.308 0.635 0.974 1.197 1.410 1.802 1.011 230 betaS[1,17] -0.794 0.682 -2.149 -1.221 -0.753 -0.316 0.435 1.004 600 betaS[1,18] 1.154 0.306 0.586 0.938 1.143 1.346 1.758 1.012 180 betaS[1,19] -0.749 0.612 -2.127 -1.107 -0.683 -0.325 0.341 1.011 210 betaS[1,20] -0.580 0.739 -2.145 -1.047 -0.511 -0.082 0.829 1.008 600 betaS[1,21] -0.593 0.426 -1.537 -0.830 -0.570 -0.336 0.135 1.017 600 betaS[1,22] -0.969 0.600 -2.356 -1.309 -0.896 -0.553 0.048 1.003 600 betaS[1,23] 1.845 0.259 1.362 1.679 1.847 1.996 2.381 1.025 89 betaS[1,24] -0.619 0.750 -2.286 -1.095 -0.549 -0.118 0.710 1.013 160 betaS[1,25] -0.744 0.682 -2.141 -1.130 -0.686 -0.286 0.404 1.002 600 betaS[1,26] 0.576 0.444 -0.291 0.289 0.578 0.867 1.408 1.029 73 betaS[1,27] 0.516 0.531 -0.476 0.171 0.490 0.881 1.673 1.020 130 betaS[1,28] 0.749 0.527 -0.249 0.377 0.748 1.102 1.789 1.011 200 betaS[1,29] -0.621 0.634 -2.187 -0.936 -0.543 -0.187 0.381 1.032 130 betaS[1,30] -0.765 0.682 -2.026 -1.191 -0.689 -0.299 0.389 1.016 160 betaS[1,31] -0.735 0.561 -2.011 -1.046 -0.702 -0.396 0.246 1.006 400 betaS[1,32] -0.297 0.345 -1.021 -0.542 -0.283 -0.079 0.344 1.011 210 betaS[1,33] -1.157 0.518 -2.315 -1.462 -1.112 -0.815 -0.305 1.037 83 betaS[1,34] 0.402 0.297 -0.110 0.199 0.389 0.587 0.991 1.017 200 betaS[1,35] 0.701 0.316 0.128 0.482 0.672 0.887 1.380 1.035 87 betaS[1,36] 1.050 0.393 0.279 0.794 1.039 1.300 1.868 1.001 600 betaS[1,37] 1.473 0.378 0.707 1.243 1.471 1.696 2.190 1.008 230 betaS[1,38] -0.518 0.734 -2.114 -0.987 -0.433 -0.033 0.667 1.015 600 betaS[2,1] -0.029 0.199 -0.456 -0.130 -0.017 0.092 0.327 1.003 600 betaS[2,2] 0.003 0.199 -0.378 -0.108 0.002 0.108 0.410 1.003 420 betaS[2,3] 0.007 0.169 -0.330 -0.079 0.007 0.100 0.367 1.019 350 betaS[2,4] 0.029 0.192 -0.343 -0.087 0.023 0.143 0.441 1.004 600 betaS[2,5] 0.020 0.203 -0.361 -0.098 0.012 0.128 0.440 1.000 600 betaS[2,6] -0.002 0.188 -0.426 -0.107 -0.009 0.108 0.369 1.015 600 betaS[2,7] -0.050 0.214 -0.513 -0.149 -0.035 0.063 0.338 1.007 600 betaS[2,8] -0.006 0.196 -0.465 -0.110 0.003 0.112 0.383 0.999 600 betaS[2,9] 0.003 0.205 -0.418 -0.110 0.005 0.111 0.427 1.008 600 betaS[2,10] -0.061 0.215 -0.553 -0.149 -0.041 0.062 0.336 1.007 600 betaS[2,11] -0.017 0.195 -0.413 -0.124 -0.012 0.089 0.420 0.999 600 betaS[2,12] -0.050 0.209 -0.558 -0.144 -0.036 0.072 0.333 1.018 280 betaS[2,13] -0.034 0.215 -0.528 -0.136 -0.020 0.094 0.360 1.002 600 betaS[2,14] 0.040 0.197 -0.331 -0.075 0.020 0.139 0.485 1.002 600 betaS[2,15] 0.033 0.175 -0.320 -0.065 0.022 0.132 0.404 1.014 220 betaS[2,16] -0.151 0.170 -0.528 -0.251 -0.131 -0.030 0.122 1.005 350 betaS[2,17] -0.057 0.210 -0.549 -0.164 -0.044 0.068 0.319 1.001 600 betaS[2,18] 0.191 0.184 -0.105 0.062 0.163 0.294 0.601 1.002 530 betaS[2,19] -0.021 0.199 -0.451 -0.126 -0.015 0.089 0.381 1.000 600 betaS[2,20] 0.034 0.188 -0.316 -0.075 0.014 0.129 0.433 1.006 530 betaS[2,21] -0.030 0.178 -0.418 -0.128 -0.020 0.077 0.323 1.001 600 betaS[2,22] -0.013 0.193 -0.405 -0.120 -0.004 0.110 0.348 1.010 600 betaS[2,23] -0.137 0.144 -0.428 -0.228 -0.128 -0.039 0.096 1.003 550 betaS[2,24] 0.044 0.201 -0.325 -0.089 0.027 0.153 0.518 1.001 600 betaS[2,25] 0.035 0.216 -0.399 -0.094 0.035 0.154 0.468 1.004 600 betaS[2,26] 0.078 0.199 -0.255 -0.046 0.051 0.179 0.526 1.002 600 betaS[2,27] 0.038 0.205 -0.444 -0.061 0.029 0.157 0.435 1.001 600 betaS[2,28] -0.035 0.203 -0.449 -0.142 -0.042 0.081 0.392 0.999 600 betaS[2,29] 0.002 0.195 -0.353 -0.113 0.005 0.110 0.390 1.010 540 betaS[2,30] 0.035 0.206 -0.340 -0.087 0.014 0.141 0.544 1.004 600 betaS[2,31] -0.011 0.230 -0.496 -0.119 -0.014 0.102 0.461 1.016 160 betaS[2,32] 0.008 0.180 -0.371 -0.092 0.003 0.104 0.386 1.010 180 betaS[2,33] 0.029 0.206 -0.355 -0.082 0.028 0.140 0.478 1.001 600 betaS[2,34] 0.053 0.172 -0.265 -0.052 0.040 0.160 0.394 1.015 130 betaS[2,35] 0.009 0.158 -0.295 -0.081 0.000 0.105 0.348 1.012 240 betaS[2,36] -0.067 0.224 -0.524 -0.178 -0.044 0.068 0.330 1.028 83 betaS[2,37] -0.002 0.185 -0.403 -0.108 -0.002 0.105 0.346 1.002 600 betaS[2,38] 0.041 0.203 -0.361 -0.079 0.030 0.151 0.484 1.001 600 betaS[3,1] -0.599 0.460 -1.441 -0.897 -0.606 -0.277 0.327 1.012 220 betaS[3,2] -0.105 0.450 -0.978 -0.381 -0.108 0.165 0.901 1.016 160 betaS[3,3] 0.682 0.552 -0.291 0.313 0.652 1.038 1.821 1.001 600 betaS[3,4] 0.754 0.222 0.322 0.599 0.759 0.888 1.181 1.115 23 betaS[3,5] -0.095 0.556 -1.157 -0.424 -0.130 0.225 1.078 1.009 270 betaS[3,6] 0.007 0.626 -1.182 -0.396 -0.023 0.387 1.274 1.006 600 betaS[3,7] 0.050 0.716 -1.473 -0.413 0.032 0.518 1.510 1.003 600 betaS[3,8] 0.566 0.506 -0.361 0.267 0.563 0.901 1.630 1.008 600 betaS[3,9] -0.175 0.675 -1.588 -0.556 -0.140 0.235 1.241 1.003 490 betaS[3,10] -0.291 0.320 -0.934 -0.487 -0.305 -0.097 0.358 1.020 110 betaS[3,11] -0.020 0.661 -1.275 -0.428 -0.056 0.401 1.268 1.000 600 betaS[3,12] -0.009 0.716 -1.371 -0.486 -0.017 0.469 1.414 1.002 600 betaS[3,13] 0.141 0.663 -1.138 -0.291 0.127 0.534 1.550 1.001 600 betaS[3,14] -0.018 0.706 -1.465 -0.446 -0.034 0.440 1.351 1.000 600 betaS[3,15] -0.063 0.249 -0.546 -0.233 -0.071 0.095 0.456 1.057 41 betaS[3,16] 1.270 0.169 0.944 1.158 1.272 1.393 1.593 1.167 17 betaS[3,17] -0.025 0.716 -1.466 -0.491 -0.017 0.432 1.400 1.000 600 betaS[3,18] 0.118 0.147 -0.177 0.011 0.140 0.234 0.370 1.257 12 betaS[3,19] -0.056 0.686 -1.447 -0.509 -0.077 0.386 1.313 1.000 600 betaS[3,20] -0.030 0.713 -1.357 -0.473 -0.042 0.398 1.418 1.000 600 betaS[3,21] -0.502 0.590 -1.583 -0.921 -0.515 -0.155 0.818 1.005 430 betaS[3,22] 0.071 0.687 -1.332 -0.371 0.045 0.521 1.436 1.008 210 betaS[3,23] -0.189 0.126 -0.442 -0.288 -0.163 -0.093 0.016 1.373 9 betaS[3,24] -0.029 0.727 -1.499 -0.466 -0.051 0.403 1.402 1.006 600 betaS[3,25] 0.004 0.690 -1.486 -0.433 0.038 0.469 1.376 0.999 600 betaS[3,26] 0.104 0.385 -0.690 -0.138 0.127 0.365 0.817 1.026 77 betaS[3,27] 0.398 0.437 -0.348 0.094 0.351 0.644 1.375 1.021 93 betaS[3,28] 0.866 0.419 0.144 0.578 0.834 1.124 1.732 1.011 160 betaS[3,29] 0.111 0.660 -1.292 -0.286 0.106 0.562 1.365 1.003 600 betaS[3,30] -0.032 0.676 -1.312 -0.491 -0.014 0.424 1.238 1.000 600 betaS[3,31] 0.029 0.647 -1.234 -0.418 0.024 0.455 1.357 0.999 600 betaS[3,32] -0.084 0.474 -0.956 -0.387 -0.096 0.189 0.876 1.003 480 betaS[3,33] -0.064 0.670 -1.339 -0.491 -0.058 0.352 1.267 1.003 470 betaS[3,34] -0.277 0.187 -0.617 -0.407 -0.271 -0.149 0.084 1.121 21 betaS[3,35] 0.564 0.255 0.024 0.393 0.581 0.734 1.053 1.042 53 betaS[3,36] -0.480 0.290 -1.133 -0.625 -0.455 -0.296 0.075 1.037 77 betaS[3,37] -1.310 0.133 -1.582 -1.408 -1.288 -1.206 -1.101 1.340 10 betaS[3,38] 0.032 0.707 -1.348 -0.419 0.026 0.542 1.405 1.010 300 betaS[4,1] 0.047 0.168 -0.270 -0.056 0.044 0.141 0.428 1.004 430 betaS[4,2] 0.006 0.163 -0.321 -0.090 0.005 0.094 0.351 0.999 600 betaS[4,3] -0.006 0.156 -0.306 -0.103 -0.002 0.085 0.288 1.002 600 betaS[4,4] -0.023 0.140 -0.333 -0.095 -0.018 0.062 0.275 1.017 240 betaS[4,5] -0.009 0.158 -0.330 -0.100 -0.003 0.089 0.286 1.007 410 betaS[4,6] -0.003 0.158 -0.380 -0.082 -0.002 0.084 0.309 1.004 420 betaS[4,7] 0.007 0.157 -0.322 -0.084 -0.001 0.105 0.320 1.004 600 betaS[4,8] 0.002 0.162 -0.351 -0.083 0.009 0.091 0.320 1.009 600 betaS[4,9] -0.015 0.150 -0.337 -0.099 -0.011 0.073 0.260 1.028 130 betaS[4,10] -0.015 0.166 -0.403 -0.106 -0.010 0.073 0.306 1.003 600 betaS[4,11] -0.011 0.159 -0.344 -0.096 -0.006 0.078 0.330 1.007 580 betaS[4,12] 0.010 0.172 -0.351 -0.081 0.012 0.095 0.363 1.020 370 betaS[4,13] 0.014 0.166 -0.293 -0.081 0.013 0.101 0.377 1.010 220 betaS[4,14] 0.006 0.156 -0.287 -0.089 -0.006 0.097 0.346 0.999 600 betaS[4,15] 0.020 0.152 -0.262 -0.059 0.011 0.104 0.346 1.008 600 betaS[4,16] -0.027 0.096 -0.199 -0.088 -0.031 0.032 0.167 1.019 100 betaS[4,17] -0.007 0.167 -0.334 -0.094 -0.006 0.075 0.357 1.005 600 betaS[4,18] 0.163 0.074 0.017 0.113 0.160 0.209 0.313 1.050 44 betaS[4,19] -0.004 0.160 -0.346 -0.092 0.012 0.090 0.288 1.001 600 betaS[4,20] 0.001 0.173 -0.337 -0.088 0.004 0.098 0.348 1.004 600 betaS[4,21] 0.005 0.167 -0.322 -0.092 0.007 0.093 0.359 1.009 600 betaS[4,22] -0.004 0.162 -0.313 -0.100 0.000 0.090 0.335 1.004 600 betaS[4,23] -0.069 0.053 -0.170 -0.106 -0.069 -0.033 0.031 1.118 22 betaS[4,24] -0.002 0.167 -0.316 -0.097 -0.006 0.091 0.357 1.003 510 betaS[4,25] -0.002 0.160 -0.350 -0.089 0.000 0.094 0.310 1.002 600 betaS[4,26] 0.001 0.154 -0.309 -0.085 -0.006 0.087 0.298 1.007 600 betaS[4,27] 0.026 0.160 -0.291 -0.071 0.020 0.119 0.332 1.009 220 betaS[4,28] -0.055 0.170 -0.416 -0.154 -0.050 0.051 0.267 1.002 600 betaS[4,29] -0.001 0.169 -0.368 -0.090 -0.007 0.106 0.358 1.000 600 betaS[4,30] 0.000 0.173 -0.343 -0.092 -0.001 0.094 0.371 1.022 370 betaS[4,31] -0.007 0.163 -0.314 -0.100 -0.012 0.091 0.309 1.010 290 betaS[4,32] 0.005 0.165 -0.328 -0.085 0.002 0.101 0.338 1.002 510 betaS[4,33] -0.001 0.170 -0.349 -0.101 0.000 0.098 0.339 1.003 600 betaS[4,34] -0.015 0.138 -0.298 -0.100 -0.008 0.077 0.245 1.005 290 betaS[4,35] -0.017 0.138 -0.279 -0.103 -0.016 0.074 0.234 1.005 300 betaS[4,36] 0.028 0.167 -0.312 -0.063 0.023 0.125 0.354 1.035 180 betaS[4,37] -0.118 0.065 -0.253 -0.162 -0.119 -0.070 0.012 1.065 35 betaS[4,38] 0.007 0.170 -0.347 -0.088 0.005 0.104 0.339 1.003 600 tau.betaS[1] 1.248 0.487 0.573 0.896 1.181 1.474 2.536 1.044 50 tau.betaS[2] 50.856 55.583 6.612 17.515 31.690 60.260 215.547 1.009 210 tau.betaS[3] 2.238 0.854 0.857 1.624 2.111 2.716 4.128 1.003 470 tau.betaS[4] 61.787 47.985 11.326 29.840 49.255 80.635 194.710 1.014 150 tau[1] 0.000 0.000 0.000 0.000 0.000 0.000 0.000 1.000 600 tau[2] 0.491 0.023 0.443 0.477 0.491 0.506 0.540 1.001 600 tau[3] 1.779 15.553 0.000 0.000 0.000 0.000 10.022 1.015 600 tau[4] 3.431 0.726 2.174 2.912 3.366 3.919 5.066 1.062 38 topj[1] 26.675 6.386 23.000 23.000 23.000 36.000 36.000 1.007 600 topj[2] 23.393 8.683 1.000 23.000 23.000 23.000 36.000 1.024 260 topj[3] 33.588 6.002 23.000 36.000 37.000 37.000 37.000 1.016 580 topj[4] 20.710 6.486 6.000 16.000 18.000 23.000 36.000 1.015 600 topj[5] 24.567 8.991 3.000 16.000 23.000 34.000 36.000 1.002 600 topj[6] 22.337 12.808 4.000 7.348 23.000 35.000 37.000 1.002 600 topj[7] 25.025 9.112 2.000 23.000 23.000 34.000 35.000 1.002 600 topj[8] 15.503 9.173 4.000 4.000 16.000 18.000 34.000 0.999 600 topj[9] 20.532 9.083 8.000 10.000 23.000 31.000 34.000 1.002 600 topj[10] 22.605 6.180 4.000 23.000 23.000 26.000 27.000 1.004 600 topj[11] 15.747 9.211 3.000 4.000 16.000 23.000 35.000 1.005 330 topj[12] 16.982 10.409 4.000 4.000 18.000 23.000 35.000 1.005 330 topj[13] 16.322 8.647 4.000 5.000 18.000 23.000 35.000 0.999 600 log.pa[1,1] 5.390 0.183 4.944 5.282 5.407 5.524 5.673 1.014 170 log.pa[1,2] 4.574 0.738 3.023 4.105 4.559 5.098 5.896 0.999 600 log.pa[1,3] 4.325 0.500 3.059 4.135 4.424 4.669 4.941 1.064 600 log.pa[1,4] 5.026 0.728 3.564 4.578 5.058 5.461 6.488 1.000 600 log.pa[1,5] 4.597 0.857 2.953 4.003 4.603 5.217 6.203 1.001 600 log.pa[1,6] 3.955 0.795 2.255 3.501 3.970 4.452 5.479 1.016 240 log.pa[1,7] 3.517 0.971 1.442 2.882 3.592 4.192 5.351 1.015 600 log.pa[1,8] 4.124 0.783 2.538 3.603 4.133 4.635 5.588 1.000 600 log.pa[1,9] 3.695 0.906 1.962 3.102 3.720 4.357 5.281 1.000 600 log.pa[1,10] 4.354 0.731 2.914 3.850 4.332 4.825 5.794 1.001 600 log.pa[1,11] 3.548 0.835 1.770 3.004 3.560 4.158 5.144 1.004 390 log.pa[1,12] 3.540 1.012 1.347 2.896 3.567 4.210 5.487 1.005 600 log.pa[1,13] 3.408 0.875 1.557 2.861 3.431 3.986 5.028 1.027 90 log.pa[1,14] 3.445 0.981 1.610 2.799 3.494 4.082 5.274 1.008 220 log.pa[1,15] 4.319 0.670 2.934 3.887 4.290 4.814 5.500 1.000 600 log.pa[1,16] 5.394 0.649 4.036 4.998 5.422 5.855 6.429 1.004 600 log.pa[1,17] 3.315 0.954 1.335 2.663 3.324 3.930 5.151 1.026 210 log.pa[1,18] 5.008 0.666 3.706 4.564 5.031 5.453 6.196 1.000 600 log.pa[1,19] 3.326 0.892 1.552 2.750 3.320 3.943 4.985 1.015 200 log.pa[1,20] 3.424 0.952 1.436 2.799 3.448 4.106 5.171 1.064 220 log.pa[1,21] 3.462 0.720 1.988 3.032 3.480 3.987 4.757 1.021 170 log.pa[1,22] 3.097 0.879 1.252 2.508 3.176 3.746 4.615 1.010 210 log.pa[1,23] 6.784 0.031 6.727 6.761 6.785 6.806 6.838 1.026 99 log.pa[1,24] 3.364 0.941 1.283 2.752 3.428 4.041 4.987 1.018 130 log.pa[1,25] 3.109 0.724 1.489 2.655 3.214 3.619 4.223 1.016 130 log.pa[1,26] 4.525 0.783 2.943 4.029 4.551 5.070 6.093 1.000 600 log.pa[1,27] 4.521 0.854 2.971 3.968 4.487 5.104 6.206 1.000 600 log.pa[1,28] 4.877 0.740 3.385 4.411 4.899 5.354 6.264 1.012 160 log.pa[1,29] 3.439 0.841 1.585 2.927 3.471 4.024 4.881 1.086 98 log.pa[1,30] 3.245 0.909 1.356 2.675 3.316 3.868 4.932 1.018 110 log.pa[1,31] 3.378 0.892 1.516 2.813 3.365 4.000 5.063 1.032 600 log.pa[1,32] 3.741 0.711 2.238 3.290 3.806 4.218 5.055 1.008 370 log.pa[1,33] 2.755 0.731 1.097 2.273 2.814 3.280 4.006 1.074 71 log.pa[1,34] 3.921 0.380 3.117 3.667 3.975 4.198 4.529 1.032 66 log.pa[1,35] 4.739 0.655 3.405 4.299 4.736 5.175 5.937 1.009 190 log.pa[1,36] 6.087 0.059 5.973 6.048 6.087 6.127 6.198 1.023 100 log.pa[1,37] 4.990 0.106 4.753 4.931 4.998 5.066 5.170 1.012 210 log.pa[1,38] 3.432 0.908 1.595 2.838 3.482 4.040 5.117 1.010 280 log.pa[2,1] 4.468 0.205 3.988 4.359 4.492 4.609 4.777 1.020 160 log.pa[2,2] 4.517 0.811 2.939 3.926 4.529 5.081 6.130 0.999 600 log.pa[2,3] 4.060 0.670 2.771 3.673 4.060 4.506 5.329 1.024 310 log.pa[2,4] 5.090 0.702 3.694 4.624 5.106 5.561 6.416 1.008 600 log.pa[2,5] 4.569 0.879 2.869 3.996 4.532 5.177 6.357 1.001 600 log.pa[2,6] 3.982 0.800 2.457 3.484 4.030 4.519 5.422 1.011 460 log.pa[2,7] 3.548 0.973 1.585 2.900 3.563 4.224 5.372 1.003 600 log.pa[2,8] 4.118 0.770 2.622 3.625 4.142 4.654 5.595 0.999 600 log.pa[2,9] 3.703 0.899 1.836 3.116 3.715 4.330 5.383 0.999 600 log.pa[2,10] 4.332 0.716 2.898 3.869 4.351 4.781 5.725 1.002 580 log.pa[2,11] 3.569 0.863 1.675 3.057 3.574 4.158 5.212 1.002 600 log.pa[2,12] 3.541 0.988 1.329 2.939 3.582 4.195 5.252 1.004 600 log.pa[2,13] 3.407 0.932 1.531 2.867 3.415 4.043 5.199 1.016 130 log.pa[2,14] 3.438 0.956 1.292 2.832 3.458 4.105 5.079 1.013 200 log.pa[2,15] 4.003 0.306 3.283 3.816 4.072 4.225 4.435 1.033 92 log.pa[2,16] 5.422 0.648 4.123 4.988 5.436 5.891 6.632 1.001 600 log.pa[2,17] 3.358 0.979 1.389 2.720 3.372 4.013 5.153 1.025 200 log.pa[2,18] 3.862 0.286 3.171 3.725 3.903 4.062 4.303 1.002 510 log.pa[2,19] 3.292 0.911 1.489 2.741 3.370 3.942 4.938 1.007 290 log.pa[2,20] 3.470 0.924 1.554 2.948 3.514 4.045 5.254 1.023 240 log.pa[2,21] 3.276 0.539 2.022 2.968 3.372 3.676 4.056 1.039 79 log.pa[2,22] 3.043 0.844 1.222 2.497 3.098 3.609 4.598 1.024 87 log.pa[2,23] 6.196 0.036 6.123 6.171 6.198 6.221 6.265 1.048 49 log.pa[2,24] 3.392 0.950 1.339 2.811 3.449 4.064 5.056 1.031 98 log.pa[2,25] 3.294 0.877 1.440 2.740 3.323 3.919 4.854 1.018 370 log.pa[2,26] 4.529 0.801 2.959 4.019 4.550 5.060 6.039 0.999 600 log.pa[2,27] 4.517 0.884 2.821 3.898 4.516 5.142 6.383 0.999 600 log.pa[2,28] 4.814 0.723 3.408 4.357 4.797 5.242 6.255 1.005 390 log.pa[2,29] 3.444 0.871 1.568 2.920 3.525 4.060 4.935 1.038 64 log.pa[2,30] 3.238 0.915 1.315 2.715 3.257 3.886 4.838 1.021 170 log.pa[2,31] 3.305 0.879 1.514 2.750 3.334 3.896 4.967 1.000 600 log.pa[2,32] 3.733 0.756 2.228 3.253 3.721 4.244 5.236 1.004 510 log.pa[2,33] 2.851 0.740 1.239 2.418 2.967 3.397 4.019 1.057 60 log.pa[2,34] 4.353 0.619 3.142 3.962 4.336 4.727 5.565 1.017 120 log.pa[2,35] 4.592 0.189 4.161 4.484 4.620 4.720 4.881 1.002 600 log.pa[2,36] 4.688 0.111 4.439 4.623 4.695 4.766 4.887 1.008 280 log.pa[2,37] 5.511 0.646 4.138 5.126 5.520 5.951 6.685 1.001 600 log.pa[2,38] 3.458 0.915 1.494 2.890 3.501 4.061 5.235 1.058 210 log.pa[3,1] 4.793 0.696 3.490 4.314 4.806 5.242 6.200 1.008 290 log.pa[3,2] 4.481 0.762 3.028 3.987 4.470 5.018 5.967 1.002 600 log.pa[3,3] 3.986 0.499 2.744 3.753 4.103 4.339 4.638 1.063 73 log.pa[3,4] 5.036 0.696 3.580 4.630 5.057 5.482 6.292 1.006 390 log.pa[3,5] 4.561 0.879 2.903 3.990 4.572 5.106 6.289 1.008 600 log.pa[3,6] 3.963 0.775 2.380 3.520 4.036 4.431 5.322 1.011 200 log.pa[3,7] 3.492 0.957 1.654 2.862 3.507 4.112 5.422 1.020 310 log.pa[3,8] 4.164 0.789 2.622 3.648 4.172 4.686 5.605 1.003 600 log.pa[3,9] 3.631 0.949 1.731 3.044 3.689 4.281 5.343 1.010 600 log.pa[3,10] 4.322 0.707 2.879 3.843 4.307 4.822 5.698 0.999 600 log.pa[3,11] 3.562 0.869 1.872 3.019 3.548 4.144 5.180 1.000 600 log.pa[3,12] 3.587 0.996 1.358 2.972 3.622 4.296 5.365 1.009 380 log.pa[3,13] 3.392 0.927 1.525 2.870 3.430 3.973 5.113 1.016 150 log.pa[3,14] 3.230 0.765 1.529 2.760 3.359 3.821 4.302 1.038 79 log.pa[3,15] 4.273 0.692 3.015 3.782 4.235 4.786 5.649 1.004 380 log.pa[3,16] 5.440 0.647 4.158 5.025 5.414 5.879 6.650 1.002 600 log.pa[3,17] 3.288 0.972 1.335 2.665 3.309 3.924 5.231 1.012 250 log.pa[3,18] 4.994 0.615 3.760 4.631 4.993 5.430 6.088 1.007 300 log.pa[3,19] 3.324 0.915 1.185 2.741 3.333 3.958 4.902 1.022 190 log.pa[3,20] 3.223 0.720 1.474 2.808 3.327 3.745 4.272 1.028 250 log.pa[3,21] 3.461 0.731 1.879 3.032 3.484 3.946 4.844 1.012 310 log.pa[3,22] 3.072 0.863 1.402 2.522 3.098 3.704 4.685 1.010 210 log.pa[3,23] 6.677 0.024 6.631 6.661 6.674 6.693 6.725 1.057 39 log.pa[3,24] 3.367 0.937 1.146 2.800 3.353 4.019 5.076 1.019 110 log.pa[3,25] 3.157 0.736 1.499 2.770 3.252 3.680 4.217 1.016 150 log.pa[3,26] 4.519 0.772 2.978 3.988 4.525 5.018 5.981 1.001 600 log.pa[3,27] 4.512 0.872 2.896 3.931 4.509 5.049 6.120 1.003 500 log.pa[3,28] 4.814 0.713 3.344 4.369 4.825 5.272 6.219 1.004 340 log.pa[3,29] 3.438 0.875 1.486 2.891 3.513 4.037 5.025 1.051 81 log.pa[3,30] 3.209 0.905 1.243 2.651 3.268 3.818 4.851 1.008 240 log.pa[3,31] 3.335 0.864 1.508 2.766 3.393 3.904 4.860 1.000 600 log.pa[3,32] 3.754 0.732 2.398 3.276 3.739 4.234 5.223 1.004 420 log.pa[3,33] 2.814 0.758 1.190 2.364 2.890 3.363 4.064 1.034 80 log.pa[3,34] 5.012 0.090 4.816 4.957 5.015 5.070 5.182 1.000 600 log.pa[3,35] 4.713 0.666 3.257 4.262 4.734 5.182 5.967 1.008 210 log.pa[3,36] 5.415 0.065 5.290 5.371 5.412 5.457 5.546 1.054 42 log.pa[3,37] 6.143 0.026 6.093 6.126 6.141 6.161 6.197 1.055 40 log.pa[3,38] 3.472 0.944 1.309 2.902 3.521 4.093 5.278 1.008 310 log.pa[4,1] 4.839 0.708 3.446 4.392 4.851 5.313 6.177 1.021 280 log.pa[4,2] 4.557 0.784 3.062 3.984 4.557 5.068 6.109 1.002 600 log.pa[4,3] 4.075 0.696 2.740 3.622 4.093 4.516 5.455 1.046 210 log.pa[4,4] 4.973 0.683 3.707 4.538 4.956 5.434 6.282 1.010 430 log.pa[4,5] 4.534 0.885 2.786 3.916 4.510 5.161 6.261 1.001 600 log.pa[4,6] 3.962 0.558 2.514 3.750 4.108 4.324 4.606 1.021 300 log.pa[4,7] 3.558 0.951 1.514 2.961 3.611 4.199 5.345 0.999 600 log.pa[4,8] 4.122 0.810 2.405 3.624 4.149 4.677 5.640 1.000 600 log.pa[4,9] 3.690 0.959 1.630 3.080 3.685 4.382 5.364 1.002 600 log.pa[4,10] 4.338 0.733 2.890 3.854 4.368 4.828 5.751 1.002 600 log.pa[4,11] 3.524 0.890 1.714 2.982 3.578 4.114 5.148 1.013 600 log.pa[4,12] 3.577 0.984 1.576 2.967 3.654 4.227 5.419 1.000 600 log.pa[4,13] 3.394 0.908 1.511 2.872 3.431 3.966 5.070 1.033 95 log.pa[4,14] 3.402 0.978 1.369 2.824 3.446 4.053 5.198 1.006 330 log.pa[4,15] 4.260 0.664 3.018 3.801 4.239 4.689 5.581 1.018 130 log.pa[4,16] 5.915 0.038 5.840 5.887 5.915 5.941 5.987 1.065 35 log.pa[4,17] 3.313 1.035 1.108 2.636 3.320 4.003 5.248 1.005 410 log.pa[4,18] 5.334 0.050 5.239 5.299 5.335 5.369 5.426 1.039 56 log.pa[4,19] 3.326 0.890 1.539 2.759 3.321 3.987 4.945 1.011 180 log.pa[4,20] 3.438 0.945 1.358 2.903 3.461 3.996 5.167 1.091 140 log.pa[4,21] 3.560 0.637 2.131 3.159 3.689 4.040 4.477 1.003 440 log.pa[4,22] 3.017 0.780 1.328 2.507 3.167 3.640 4.141 1.023 85 log.pa[4,23] 5.927 0.038 5.855 5.901 5.927 5.955 6.003 1.068 33 log.pa[4,24] 3.349 0.926 1.477 2.824 3.377 3.982 5.025 1.018 120 log.pa[4,25] 3.247 0.913 1.360 2.677 3.236 3.851 4.949 1.011 290 log.pa[4,26] 4.485 0.829 2.909 3.964 4.455 5.022 6.191 1.004 430 log.pa[4,27] 4.498 0.889 2.786 3.905 4.511 5.096 6.199 1.004 600 log.pa[4,28] 4.865 0.703 3.470 4.402 4.852 5.333 6.150 1.006 290 log.pa[4,29] 3.328 0.754 1.299 2.965 3.493 3.883 4.338 1.041 81 log.pa[4,30] 3.121 0.747 1.455 2.740 3.212 3.672 4.165 1.016 160 log.pa[4,31] 3.351 0.869 1.380 2.848 3.416 3.936 4.924 1.011 600 log.pa[4,32] 3.763 0.710 2.405 3.285 3.762 4.251 5.141 1.005 370 log.pa[4,33] 2.795 0.735 1.311 2.316 2.824 3.354 4.012 1.040 66 log.pa[4,34] 3.913 0.359 3.064 3.705 3.955 4.187 4.471 1.019 110 log.pa[4,35] 4.753 0.619 3.628 4.316 4.769 5.169 5.970 1.002 600 log.pa[4,36] 4.784 0.120 4.547 4.709 4.795 4.870 4.985 1.007 480 log.pa[4,37] 5.526 0.667 4.254 5.076 5.523 5.954 6.869 1.008 230 log.pa[4,38] 3.487 0.919 1.506 2.975 3.498 4.141 5.129 1.013 410 log.pa[5,1] 4.755 0.655 3.416 4.329 4.743 5.159 5.990 1.008 260 log.pa[5,2] 4.524 0.769 2.953 4.075 4.500 5.055 6.045 1.001 600 log.pa[5,3] 3.990 0.427 2.885 3.770 4.075 4.284 4.549 1.018 360 log.pa[5,4] 5.008 0.693 3.660 4.539 5.056 5.440 6.347 1.006 600 log.pa[5,5] 4.545 0.830 2.974 3.985 4.553 5.140 6.122 1.000 600 log.pa[5,6] 3.964 0.550 2.482 3.728 4.106 4.344 4.635 1.006 600 log.pa[5,7] 3.484 0.981 1.549 2.861 3.512 4.190 5.323 1.004 370 log.pa[5,8] 4.204 0.774 2.754 3.681 4.250 4.708 5.634 0.998 600 log.pa[5,9] 3.638 0.944 1.668 3.010 3.699 4.267 5.305 1.021 520 log.pa[5,10] 4.385 0.717 3.097 3.912 4.365 4.871 5.826 1.000 600 log.pa[5,11] 3.555 0.902 1.691 2.930 3.606 4.242 5.214 1.009 600 log.pa[5,12] 3.606 1.014 1.423 3.038 3.652 4.242 5.443 1.000 600 log.pa[5,13] 3.349 0.913 1.496 2.806 3.399 3.965 5.003 1.016 200 log.pa[5,14] 3.422 0.999 1.164 2.861 3.465 4.092 5.139 1.014 180 log.pa[5,15] 4.298 0.672 2.866 3.875 4.305 4.762 5.533 1.001 600 log.pa[5,16] 5.603 0.048 5.508 5.571 5.605 5.634 5.692 1.027 82 log.pa[5,17] 3.327 0.970 1.384 2.734 3.340 3.926 5.300 1.035 170 log.pa[5,18] 5.000 0.689 3.613 4.547 5.012 5.443 6.392 1.001 600 log.pa[5,19] 3.332 0.895 1.667 2.725 3.372 3.976 4.904 1.011 180 log.pa[5,20] 3.422 0.934 1.557 2.822 3.449 4.075 5.158 1.022 330 log.pa[5,21] 3.542 0.615 2.033 3.213 3.665 3.986 4.424 1.031 200 log.pa[5,22] 3.097 0.857 1.399 2.532 3.144 3.711 4.622 1.003 470 log.pa[5,23] 5.654 0.048 5.552 5.622 5.657 5.688 5.740 1.032 69 log.pa[5,24] 3.153 0.771 1.296 2.763 3.299 3.710 4.182 1.043 82 log.pa[5,25] 3.246 0.868 1.501 2.711 3.271 3.851 4.788 1.004 600 log.pa[5,26] 4.531 0.801 2.989 3.953 4.558 5.077 6.100 0.999 600 log.pa[5,27] 4.491 0.857 2.728 3.940 4.512 5.047 6.108 1.002 600 log.pa[5,28] 5.119 0.065 4.996 5.078 5.118 5.164 5.244 1.012 150 log.pa[5,29] 3.377 0.803 1.345 2.976 3.573 3.959 4.345 1.069 97 log.pa[5,30] 3.068 0.767 1.268 2.570 3.237 3.640 4.173 1.020 110 log.pa[5,31] 3.300 0.885 1.637 2.723 3.332 3.909 5.009 1.004 360 log.pa[5,32] 3.597 0.553 2.341 3.284 3.686 4.001 4.375 0.999 600 log.pa[5,33] 2.755 0.704 1.189 2.319 2.827 3.247 3.898 1.045 59 log.pa[5,34] 4.457 0.225 3.915 4.366 4.495 4.611 4.741 1.020 470 log.pa[5,35] 4.748 0.634 3.371 4.382 4.762 5.148 5.893 1.001 600 log.pa[5,36] 5.233 0.078 5.066 5.184 5.234 5.287 5.384 1.046 48 log.pa[5,37] 5.504 0.638 4.241 5.115 5.496 5.944 6.724 1.003 600 log.pa[5,38] 3.321 0.725 1.517 2.957 3.462 3.856 4.344 1.067 120 log.pa[6,1] 4.826 0.712 3.477 4.351 4.792 5.329 6.226 1.001 600 log.pa[6,2] 4.590 0.710 3.084 4.152 4.574 5.093 5.858 1.000 600 log.pa[6,3] 4.122 0.658 2.781 3.720 4.122 4.580 5.307 1.023 570 log.pa[6,4] 5.734 0.045 5.646 5.703 5.735 5.765 5.819 1.024 87 log.pa[6,5] 4.594 0.798 3.030 4.067 4.615 5.144 6.168 1.000 600 log.pa[6,6] 3.994 0.798 2.408 3.491 4.030 4.538 5.492 1.010 290 log.pa[6,7] 3.471 0.846 1.742 2.900 3.546 4.073 4.971 1.012 600 log.pa[6,8] 4.133 0.746 2.588 3.669 4.107 4.585 5.583 1.008 390 log.pa[6,9] 3.563 0.730 1.889 3.159 3.715 4.128 4.515 1.002 600 log.pa[6,10] 4.306 0.611 3.178 3.862 4.315 4.729 5.509 1.011 350 log.pa[6,11] 3.555 0.803 1.883 3.043 3.548 4.079 5.005 1.017 600 log.pa[6,12] 3.537 0.887 1.615 2.994 3.534 4.155 5.121 1.003 450 log.pa[6,13] 3.336 0.814 1.713 2.886 3.359 3.890 4.729 1.022 240 log.pa[6,14] 3.502 0.961 1.433 2.889 3.540 4.136 5.359 1.015 190 log.pa[6,15] 4.340 0.624 3.121 3.918 4.334 4.741 5.608 0.999 600 log.pa[6,16] 5.218 0.550 4.211 4.876 5.215 5.605 6.204 1.012 600 log.pa[6,17] 3.243 0.885 1.396 2.637 3.267 3.883 4.893 1.029 200 log.pa[6,18] 5.433 0.051 5.334 5.398 5.434 5.470 5.526 1.015 120 log.pa[6,19] 3.311 0.860 1.452 2.761 3.349 3.886 4.807 1.044 75 log.pa[6,20] 3.515 0.945 1.518 2.891 3.567 4.138 5.215 1.036 140 log.pa[6,21] 4.053 0.673 2.235 3.808 4.266 4.507 4.793 1.012 410 log.pa[6,22] 3.005 0.723 1.355 2.532 3.041 3.531 4.202 1.041 150 log.pa[6,23] 5.382 0.051 5.280 5.345 5.383 5.417 5.475 1.009 220 log.pa[6,24] 3.418 0.980 1.332 2.837 3.478 4.104 5.175 1.016 120 log.pa[6,25] 3.327 0.888 1.598 2.799 3.342 3.931 4.959 1.000 600 log.pa[6,26] 4.670 0.678 3.345 4.230 4.677 5.112 5.951 1.006 600 log.pa[6,27] 4.567 0.741 3.049 4.072 4.598 5.085 5.979 1.007 600 log.pa[6,28] 4.788 0.775 3.251 4.281 4.790 5.306 6.296 1.006 600 log.pa[6,29] 3.445 0.852 1.554 2.908 3.517 3.966 5.086 1.080 61 log.pa[6,30] 3.289 0.917 1.276 2.738 3.296 3.907 5.012 1.024 85 log.pa[6,31] 3.320 0.778 1.695 2.841 3.349 3.846 4.868 1.006 420 log.pa[6,32] 3.874 0.495 2.734 3.601 3.951 4.236 4.590 1.021 94 log.pa[6,33] 2.818 0.731 1.147 2.374 2.866 3.355 4.002 1.053 47 log.pa[6,34] 4.342 0.298 3.602 4.206 4.399 4.540 4.759 1.025 190 log.pa[6,35] 5.155 0.165 4.765 5.059 5.172 5.270 5.429 1.006 600 log.pa[6,36] 5.062 0.704 3.656 4.599 5.059 5.519 6.401 1.021 160 log.pa[6,37] 5.972 0.038 5.893 5.948 5.972 5.998 6.046 1.024 83 log.pa[6,38] 3.597 0.977 1.588 2.991 3.601 4.213 5.393 1.017 250 log.pa[7,1] 4.757 0.700 3.370 4.291 4.807 5.235 6.079 1.014 150 log.pa[7,2] 4.687 0.132 4.408 4.606 4.695 4.778 4.916 1.000 600 log.pa[7,3] 4.104 0.672 2.778 3.682 4.085 4.543 5.370 1.034 190 log.pa[7,4] 3.941 0.279 3.325 3.775 3.976 4.143 4.388 1.022 210 log.pa[7,5] 4.596 0.799 2.989 4.086 4.653 5.126 6.081 1.022 140 log.pa[7,6] 3.983 0.861 2.210 3.451 4.023 4.557 5.469 1.014 460 log.pa[7,7] 3.460 0.871 1.692 2.881 3.508 4.044 4.993 1.009 250 log.pa[7,8] 4.184 0.766 2.643 3.665 4.197 4.723 5.657 1.000 600 log.pa[7,9] 3.711 0.892 1.826 3.108 3.764 4.332 5.239 1.003 600 log.pa[7,10] 4.299 0.647 2.960 3.869 4.326 4.748 5.543 1.006 600 log.pa[7,11] 3.482 0.655 1.932 3.167 3.597 3.950 4.381 1.001 600 log.pa[7,12] 3.546 0.930 1.453 2.978 3.575 4.186 5.207 1.010 450 log.pa[7,13] 3.367 0.864 1.490 2.840 3.418 3.939 4.984 1.038 75 log.pa[7,14] 3.503 0.950 1.647 2.908 3.541 4.138 5.386 1.011 210 log.pa[7,15] 4.361 0.633 3.039 3.942 4.388 4.784 5.592 1.010 300 log.pa[7,16] 5.228 0.623 3.895 4.855 5.234 5.614 6.416 1.002 600 log.pa[7,17] 3.232 0.870 1.543 2.685 3.305 3.859 4.858 1.034 110 log.pa[7,18] 5.268 0.602 4.094 4.891 5.259 5.659 6.463 1.005 600 log.pa[7,19] 3.151 0.696 1.520 2.758 3.260 3.690 4.154 1.054 83 log.pa[7,20] 3.529 0.937 1.612 2.957 3.554 4.117 5.278 1.011 340 log.pa[7,21] 3.311 0.554 2.020 2.990 3.372 3.704 4.216 1.020 220 log.pa[7,22] 3.088 0.871 1.352 2.571 3.099 3.683 4.795 1.013 180 log.pa[7,23] 6.385 0.039 6.314 6.358 6.383 6.409 6.462 1.002 570 log.pa[7,24] 3.456 0.963 1.336 2.921 3.476 4.148 5.183 1.029 78 log.pa[7,25] 3.337 0.896 1.382 2.816 3.392 3.967 4.803 1.003 600 log.pa[7,26] 4.250 0.309 3.405 4.128 4.301 4.462 4.669 1.004 600 log.pa[7,27] 4.597 0.752 3.050 4.144 4.602 5.101 5.950 1.007 600 log.pa[7,28] 4.810 0.745 3.417 4.277 4.833 5.285 6.254 1.001 600 log.pa[7,29] 3.466 0.870 1.695 2.940 3.507 4.052 5.024 1.090 76 log.pa[7,30] 3.303 0.932 1.292 2.710 3.296 3.941 4.992 1.024 120 log.pa[7,31] 3.213 0.659 1.767 2.875 3.312 3.673 4.199 1.001 600 log.pa[7,32] 3.877 0.456 2.827 3.637 3.954 4.212 4.518 1.002 600 log.pa[7,33] 3.000 0.794 1.210 2.500 3.113 3.586 4.175 1.063 50 log.pa[7,34] 5.064 0.071 4.921 5.016 5.064 5.112 5.195 1.000 600 log.pa[7,35] 4.862 0.204 4.389 4.742 4.889 5.003 5.184 1.003 480 log.pa[7,36] 5.114 0.658 3.741 4.703 5.109 5.536 6.426 1.020 170 log.pa[7,37] 5.521 0.669 4.178 5.103 5.526 5.982 6.731 0.999 600 log.pa[7,38] 3.545 0.940 1.584 2.949 3.574 4.169 5.291 1.013 260 log.pa[8,1] 4.764 0.749 3.319 4.257 4.730 5.269 6.267 1.003 600 log.pa[8,2] 4.546 0.667 3.204 4.100 4.624 4.985 5.780 1.001 600 log.pa[8,3] 3.759 0.475 2.709 3.509 3.832 4.097 4.450 1.069 100 log.pa[8,4] 5.756 0.036 5.686 5.730 5.757 5.780 5.823 1.011 170 log.pa[8,5] 4.606 0.749 3.117 4.095 4.599 5.080 6.152 1.005 600 log.pa[8,6] 4.005 0.821 2.323 3.496 4.039 4.493 5.494 1.002 600 log.pa[8,7] 3.459 0.890 1.574 2.903 3.505 4.046 5.074 1.029 270 log.pa[8,8] 4.122 0.731 2.726 3.655 4.122 4.604 5.603 1.004 600 log.pa[8,9] 3.699 0.933 1.917 3.035 3.667 4.360 5.437 1.004 600 log.pa[8,10] 5.056 0.104 4.830 4.991 5.067 5.128 5.234 1.002 600 log.pa[8,11] 3.567 0.786 1.854 3.053 3.621 4.129 4.958 1.000 600 log.pa[8,12] 3.458 0.898 1.449 2.925 3.532 4.054 5.031 1.030 200 log.pa[8,13] 3.385 0.849 1.577 2.860 3.457 3.909 4.943 1.028 110 log.pa[8,14] 3.493 1.003 1.369 2.888 3.502 4.147 5.581 1.011 410 log.pa[8,15] 5.265 0.070 5.125 5.220 5.266 5.311 5.397 1.003 600 log.pa[8,16] 5.442 0.045 5.352 5.412 5.443 5.473 5.526 1.008 220 log.pa[8,17] 3.278 0.876 1.502 2.742 3.303 3.877 4.872 1.132 460 log.pa[8,18] 5.592 0.042 5.513 5.564 5.594 5.620 5.674 1.013 180 log.pa[8,19] 3.314 0.830 1.530 2.767 3.370 3.868 4.863 1.022 130 log.pa[8,20] 3.479 0.927 1.366 2.934 3.513 4.103 5.029 1.013 410 log.pa[8,21] 3.410 0.632 2.061 3.020 3.481 3.859 4.406 1.044 110 log.pa[8,22] 3.038 0.826 1.125 2.503 3.137 3.707 4.314 1.028 81 log.pa[8,23] 6.310 0.028 6.256 6.292 6.310 6.327 6.367 1.017 110 log.pa[8,24] 3.491 0.978 1.442 2.833 3.550 4.173 5.176 1.018 110 log.pa[8,25] 3.307 0.896 1.442 2.788 3.367 3.912 4.971 1.006 600 log.pa[8,26] 4.680 0.711 3.307 4.201 4.677 5.158 6.122 1.000 600 log.pa[8,27] 4.618 0.743 3.237 4.114 4.582 5.132 6.152 1.003 500 log.pa[8,28] 4.756 0.761 3.285 4.275 4.764 5.288 6.217 1.020 120 log.pa[8,29] 3.443 0.848 1.550 2.925 3.527 4.039 4.829 1.137 70 log.pa[8,30] 3.356 0.909 1.548 2.761 3.356 3.980 5.053 1.038 160 log.pa[8,31] 3.290 0.693 1.624 2.896 3.377 3.798 4.361 1.037 250 log.pa[8,32] 3.735 0.554 2.482 3.396 3.815 4.170 4.570 1.003 600 log.pa[8,33] 2.772 0.741 1.239 2.356 2.816 3.318 4.014 1.027 79 log.pa[8,34] 5.183 0.083 5.002 5.128 5.186 5.239 5.338 1.000 600 log.pa[8,35] 4.758 0.617 3.608 4.322 4.781 5.159 5.875 1.003 600 log.pa[8,36] 5.086 0.661 3.808 4.655 5.108 5.522 6.291 1.038 61 log.pa[8,37] 5.544 0.661 4.279 5.099 5.546 6.014 6.740 0.999 600 log.pa[8,38] 3.535 0.943 1.582 2.941 3.620 4.142 5.366 1.049 150 log.pa[9,1] 4.722 0.729 3.253 4.275 4.767 5.214 6.075 1.009 240 log.pa[9,2] 4.540 0.717 3.121 4.033 4.555 5.021 6.016 1.000 600 log.pa[9,3] 4.128 0.654 2.855 3.738 4.131 4.572 5.282 1.070 150 log.pa[9,4] 5.075 0.626 3.802 4.655 5.088 5.509 6.306 1.010 220 log.pa[9,5] 4.604 0.733 3.184 4.109 4.588 5.130 5.962 1.003 600 log.pa[9,6] 4.005 0.816 2.418 3.495 4.028 4.561 5.520 1.064 520 log.pa[9,7] 3.458 0.901 1.601 2.862 3.495 4.102 5.078 1.074 260 log.pa[9,8] 4.166 0.131 3.870 4.090 4.179 4.250 4.409 1.010 280 log.pa[9,9] 3.701 0.890 1.757 3.111 3.759 4.307 5.362 1.003 600 log.pa[9,10] 4.050 0.175 3.651 3.962 4.066 4.161 4.348 1.002 540 log.pa[9,11] 3.539 0.813 1.851 3.042 3.550 4.089 5.023 1.011 590 log.pa[9,12] 3.520 0.870 1.786 3.000 3.580 4.116 5.129 1.040 600 log.pa[9,13] 3.329 0.850 1.500 2.864 3.383 3.868 4.778 1.063 43 log.pa[9,14] 3.544 0.998 1.622 2.899 3.596 4.202 5.487 0.999 600 log.pa[9,15] 3.972 0.209 3.491 3.849 3.991 4.117 4.301 1.010 270 log.pa[9,16] 5.237 0.601 4.052 4.856 5.243 5.649 6.360 1.010 510 log.pa[9,17] 3.210 0.928 1.204 2.598 3.353 3.828 4.884 1.011 420 log.pa[9,18] 5.312 0.613 4.098 4.927 5.309 5.690 6.607 1.002 590 log.pa[9,19] 3.280 0.799 1.552 2.752 3.360 3.840 4.705 1.146 73 log.pa[9,20] 3.496 0.951 1.460 2.924 3.512 4.154 5.201 1.024 270 log.pa[9,21] 3.202 0.495 1.985 2.946 3.304 3.552 3.893 1.059 69 log.pa[9,22] 3.074 0.869 1.183 2.529 3.095 3.639 4.658 1.005 350 log.pa[9,23] 5.175 0.057 5.061 5.136 5.176 5.213 5.279 1.040 53 log.pa[9,24] 3.423 0.958 1.148 2.845 3.495 4.068 5.044 1.018 110 log.pa[9,25] 3.329 0.959 1.286 2.712 3.381 4.009 5.089 1.007 260 log.pa[9,26] 4.669 0.661 3.372 4.245 4.665 5.112 5.990 1.003 600 log.pa[9,27] 4.631 0.722 3.245 4.179 4.598 5.089 6.181 1.009 600 log.pa[9,28] 4.769 0.739 3.331 4.253 4.805 5.264 6.081 1.010 600 log.pa[9,29] 3.429 0.851 1.591 2.929 3.530 4.037 4.829 1.071 57 log.pa[9,30] 3.256 0.900 1.420 2.651 3.279 3.878 4.913 1.012 170 log.pa[9,31] 3.197 0.585 1.698 2.929 3.327 3.602 3.946 1.012 200 log.pa[9,32] 3.740 0.321 3.012 3.565 3.785 3.976 4.213 1.009 230 log.pa[9,33] 2.744 0.665 1.274 2.373 2.835 3.207 3.745 1.059 53 log.pa[9,34] 3.662 0.308 3.010 3.512 3.696 3.882 4.122 1.038 180 log.pa[9,35] 4.766 0.616 3.529 4.357 4.778 5.181 5.904 1.001 600 log.pa[9,36] 5.044 0.669 3.793 4.598 5.044 5.520 6.426 1.004 600 log.pa[9,37] 5.519 0.662 4.239 5.071 5.527 5.959 6.816 1.001 600 log.pa[9,38] 3.582 0.911 1.599 3.055 3.640 4.245 5.080 1.018 190 log.pa[10,1] 4.798 0.840 3.164 4.249 4.818 5.342 6.511 1.009 190 log.pa[10,2] 4.553 0.732 3.094 4.054 4.591 5.071 5.878 1.003 480 log.pa[10,3] 4.098 0.485 2.915 3.887 4.201 4.420 4.730 1.172 110 log.pa[10,4] 4.439 0.193 4.007 4.331 4.467 4.564 4.744 1.054 61 log.pa[10,5] 4.636 0.785 3.064 4.104 4.645 5.137 6.198 1.002 600 log.pa[10,6] 3.994 0.862 2.136 3.485 4.052 4.572 5.615 1.019 600 log.pa[10,7] 3.464 0.905 1.670 2.868 3.546 4.037 5.179 1.007 390 log.pa[10,8] 4.176 0.762 2.749 3.700 4.176 4.675 5.693 0.999 600 log.pa[10,9] 3.734 0.934 1.871 3.169 3.698 4.371 5.547 1.001 600 log.pa[10,10] 3.758 0.422 2.804 3.529 3.821 4.061 4.407 1.019 160 log.pa[10,11] 3.537 0.698 1.843 3.149 3.700 4.040 4.490 1.005 500 log.pa[10,12] 3.313 0.696 1.763 2.887 3.418 3.836 4.321 1.005 290 log.pa[10,13] 3.261 0.748 1.609 2.865 3.390 3.805 4.268 1.084 38 log.pa[10,14] 3.587 1.009 1.594 2.926 3.594 4.259 5.315 1.006 250 log.pa[10,15] 4.395 0.569 3.367 3.997 4.372 4.768 5.525 1.007 600 log.pa[10,16] 4.305 0.223 3.817 4.204 4.332 4.454 4.655 1.019 140 log.pa[10,17] 3.206 0.878 1.449 2.638 3.246 3.808 4.850 1.028 170 log.pa[10,18] 5.412 0.615 4.227 5.043 5.392 5.837 6.558 1.002 540 log.pa[10,19] 3.384 0.777 1.582 2.905 3.528 3.981 4.423 1.069 55 log.pa[10,20] 3.545 1.000 1.410 2.976 3.541 4.185 5.414 1.030 140 log.pa[10,21] 3.449 0.691 2.099 2.995 3.422 3.925 4.803 1.026 210 log.pa[10,22] 3.083 0.865 1.257 2.534 3.158 3.705 4.581 1.008 360 log.pa[10,23] 6.435 0.047 6.334 6.406 6.438 6.467 6.517 1.120 25 log.pa[10,24] 3.506 0.984 1.518 2.814 3.601 4.197 5.255 1.027 78 log.pa[10,25] 3.352 0.957 1.260 2.764 3.426 4.010 4.999 1.006 600 log.pa[10,26] 5.296 0.144 4.969 5.202 5.305 5.403 5.536 1.020 120 log.pa[10,27] 4.822 0.108 4.594 4.755 4.834 4.897 5.020 1.022 89 log.pa[10,28] 4.785 0.817 3.327 4.201 4.729 5.354 6.342 1.009 330 log.pa[10,29] 3.370 0.764 1.466 2.978 3.533 3.941 4.346 1.202 54 log.pa[10,30] 3.313 0.987 1.170 2.667 3.349 3.966 5.061 1.023 99 log.pa[10,31] 3.368 0.823 1.572 2.890 3.353 3.924 4.879 1.006 370 log.pa[10,32] 3.655 0.506 2.451 3.354 3.706 4.052 4.403 1.010 170 log.pa[10,33] 2.931 0.866 1.056 2.396 2.954 3.535 4.512 1.054 44 log.pa[10,34] 4.553 0.666 3.139 4.133 4.532 4.981 5.855 1.004 360 log.pa[10,35] 4.784 0.633 3.599 4.379 4.793 5.191 6.035 1.008 210 log.pa[10,36] 5.047 0.795 3.476 4.519 5.049 5.557 6.588 1.027 94 log.pa[10,37] 5.518 0.740 4.059 5.032 5.515 6.003 6.887 1.003 460 log.pa[10,38] 3.595 0.991 1.769 2.910 3.625 4.298 5.278 1.018 340 log.pa[11,1] 4.745 0.796 3.135 4.220 4.764 5.267 6.315 1.001 600 log.pa[11,2] 4.570 0.705 3.207 4.093 4.588 5.022 5.906 1.001 600 log.pa[11,3] 4.327 0.446 3.197 4.201 4.415 4.592 4.835 1.099 110 log.pa[11,4] 5.299 0.057 5.187 5.262 5.298 5.340 5.409 1.029 77 log.pa[11,5] 4.683 0.768 3.029 4.207 4.683 5.203 6.083 1.001 600 log.pa[11,6] 4.004 0.885 1.956 3.507 4.060 4.597 5.634 1.003 600 log.pa[11,7] 3.435 0.859 1.620 2.851 3.478 4.054 4.931 1.038 160 log.pa[11,8] 4.160 0.753 2.652 3.648 4.197 4.696 5.623 1.000 600 log.pa[11,9] 3.694 0.899 1.765 3.108 3.725 4.366 5.375 1.000 600 log.pa[11,10] 4.262 0.651 3.033 3.834 4.260 4.713 5.528 1.001 600 log.pa[11,11] 3.594 0.801 1.748 3.108 3.649 4.124 5.018 1.014 300 log.pa[11,12] 3.488 0.856 1.665 2.928 3.563 4.063 4.985 1.009 300 log.pa[11,13] 3.174 0.746 1.306 2.796 3.309 3.699 4.214 1.057 53 log.pa[11,14] 3.549 1.034 1.491 2.843 3.558 4.236 5.586 1.013 190 log.pa[11,15] 4.381 0.220 3.836 4.281 4.412 4.529 4.715 1.006 480 log.pa[11,16] 5.415 0.048 5.321 5.381 5.416 5.449 5.510 1.026 83 log.pa[11,17] 3.204 0.890 1.252 2.627 3.206 3.837 4.874 1.040 200 log.pa[11,18] 5.443 0.609 4.171 5.072 5.438 5.853 6.735 0.999 600 log.pa[11,19] 3.241 0.699 1.575 2.783 3.354 3.779 4.231 1.055 47 log.pa[11,20] 3.521 0.976 1.521 2.946 3.528 4.167 5.474 1.071 280 log.pa[11,21] 3.277 0.605 1.907 2.905 3.389 3.714 4.165 1.044 110 log.pa[11,22] 3.105 0.896 1.212 2.582 3.111 3.730 4.693 1.008 210 log.pa[11,23] 5.903 0.043 5.814 5.873 5.905 5.933 5.982 1.039 56 log.pa[11,24] 3.492 1.002 1.575 2.888 3.526 4.146 5.231 1.013 150 log.pa[11,25] 3.422 0.980 1.271 2.777 3.501 4.113 5.245 1.009 240 log.pa[11,26] 4.761 0.679 3.560 4.286 4.733 5.211 6.214 1.003 600 log.pa[11,27] 4.620 0.737 3.161 4.107 4.620 5.134 6.099 1.004 600 log.pa[11,28] 4.765 0.833 3.105 4.203 4.776 5.288 6.371 1.008 350 log.pa[11,29] 3.460 0.936 1.257 2.890 3.530 4.109 5.135 1.063 61 log.pa[11,30] 3.364 0.973 1.267 2.717 3.388 4.045 5.129 1.043 91 log.pa[11,31] 3.306 0.847 1.428 2.793 3.353 3.882 4.828 1.008 240 log.pa[11,32] 3.600 0.479 2.525 3.341 3.676 3.934 4.296 1.028 200 log.pa[11,33] 2.962 0.854 1.123 2.413 2.964 3.513 4.514 1.032 79 log.pa[11,34] 4.588 0.646 3.332 4.171 4.594 5.025 5.788 1.002 600 log.pa[11,35] 4.439 0.225 3.923 4.319 4.467 4.592 4.808 1.003 450 log.pa[11,36] 5.006 0.803 3.469 4.491 5.036 5.524 6.491 1.047 55 log.pa[11,37] 5.525 0.745 4.078 5.035 5.509 6.037 7.009 1.002 600 log.pa[11,38] 3.589 0.990 1.612 3.014 3.566 4.229 5.530 1.003 600 log.pa[12,1] 4.799 0.827 3.069 4.296 4.812 5.354 6.311 1.016 170 log.pa[12,2] 4.551 0.736 2.977 4.061 4.580 5.037 5.946 1.001 600 log.pa[12,3] 4.137 0.682 2.851 3.733 4.170 4.579 5.415 1.066 200 log.pa[12,4] 5.625 0.052 5.511 5.591 5.629 5.659 5.715 1.045 49 log.pa[12,5] 4.625 0.745 3.122 4.105 4.605 5.159 5.991 1.000 600 log.pa[12,6] 3.997 0.880 2.115 3.484 4.075 4.578 5.578 1.008 570 log.pa[12,7] 3.297 0.742 1.570 2.866 3.451 3.832 4.298 1.016 410 log.pa[12,8] 4.163 0.745 2.769 3.665 4.179 4.628 5.586 1.008 450 log.pa[12,9] 3.662 0.908 1.664 3.130 3.704 4.278 5.368 1.003 600 log.pa[12,10] 4.273 0.692 2.865 3.821 4.275 4.715 5.612 1.002 600 log.pa[12,11] 3.464 0.651 1.958 3.117 3.568 3.954 4.329 1.015 490 log.pa[12,12] 3.510 0.894 1.589 2.926 3.585 4.139 5.057 1.022 120 log.pa[12,13] 3.142 0.702 1.504 2.773 3.255 3.654 4.100 1.092 37 log.pa[12,14] 3.563 0.992 1.579 2.884 3.588 4.268 5.377 1.024 140 log.pa[12,15] 4.309 0.268 3.719 4.193 4.358 4.481 4.674 1.006 600 log.pa[12,16] 5.124 0.601 3.910 4.754 5.113 5.508 6.293 1.000 600 log.pa[12,17] 3.058 0.723 1.441 2.621 3.151 3.603 4.180 1.077 90 log.pa[12,18] 5.845 0.046 5.753 5.816 5.848 5.875 5.928 1.056 42 log.pa[12,19] 3.210 0.697 1.526 2.819 3.336 3.712 4.251 1.042 62 log.pa[12,20] 3.514 0.987 1.505 2.862 3.584 4.102 5.465 1.012 230 log.pa[12,21] 3.476 0.703 1.967 3.034 3.496 3.951 4.706 1.052 350 log.pa[12,22] 3.023 0.780 1.257 2.558 3.130 3.601 4.179 1.007 240 log.pa[12,23] 5.002 0.077 4.835 4.953 5.003 5.056 5.146 1.023 84 log.pa[12,24] 3.498 1.039 1.235 2.892 3.486 4.194 5.441 1.026 81 log.pa[12,25] 3.375 0.981 1.282 2.740 3.453 4.076 5.076 1.009 330 log.pa[12,26] 4.780 0.667 3.417 4.389 4.748 5.174 6.188 1.007 230 log.pa[12,27] 4.648 0.720 3.231 4.189 4.671 5.161 6.033 1.001 600 log.pa[12,28] 4.778 0.843 3.128 4.240 4.762 5.411 6.354 1.002 600 log.pa[12,29] 3.454 0.892 1.612 2.968 3.502 4.038 5.067 1.034 150 log.pa[12,30] 3.363 0.947 1.343 2.721 3.411 4.006 5.238 1.024 100 log.pa[12,31] 3.327 0.826 1.587 2.793 3.364 3.878 4.791 1.007 240 log.pa[12,32] 4.154 0.442 3.096 3.948 4.247 4.479 4.738 1.016 150 log.pa[12,33] 3.012 0.888 1.194 2.417 3.043 3.602 4.639 1.030 100 log.pa[12,34] 4.576 0.653 3.337 4.139 4.567 5.027 5.832 1.015 170 log.pa[12,35] 5.062 0.142 4.757 4.977 5.071 5.154 5.300 1.015 120 log.pa[12,36] 5.048 0.767 3.481 4.535 5.075 5.550 6.554 1.023 99 log.pa[12,37] 5.525 0.714 4.190 5.028 5.516 5.976 6.983 1.000 600 log.pa[12,38] 3.617 0.987 1.620 3.047 3.668 4.259 5.434 1.012 600 log.pa[13,1] 4.758 0.810 3.121 4.209 4.763 5.286 6.336 1.003 480 log.pa[13,2] 4.573 0.763 3.064 4.056 4.568 5.043 6.070 0.999 600 log.pa[13,3] 4.099 0.687 2.784 3.702 4.127 4.567 5.356 1.044 130 log.pa[13,4] 5.395 0.055 5.284 5.360 5.396 5.437 5.494 1.003 600 log.pa[13,5] 4.828 0.243 4.368 4.723 4.872 4.980 5.140 1.008 600 log.pa[13,6] 4.062 0.882 2.130 3.534 4.158 4.639 5.595 1.011 230 log.pa[13,7] 3.393 0.753 1.648 2.980 3.553 3.951 4.408 1.014 320 log.pa[13,8] 4.140 0.779 2.676 3.630 4.132 4.675 5.582 1.002 600 log.pa[13,9] 3.714 0.949 1.699 3.111 3.762 4.350 5.524 1.000 600 log.pa[13,10] 4.261 0.652 2.986 3.843 4.270 4.674 5.572 1.002 600 log.pa[13,11] 3.569 0.809 1.805 3.057 3.629 4.118 5.059 1.000 600 log.pa[13,12] 3.514 0.899 1.639 2.948 3.548 4.106 5.162 1.013 190 log.pa[13,13] 3.473 0.817 1.451 3.017 3.638 4.085 4.543 1.067 56 log.pa[13,14] 3.560 0.996 1.687 2.860 3.572 4.226 5.430 1.008 220 log.pa[13,15] 4.257 0.299 3.518 4.123 4.307 4.452 4.675 1.005 320 log.pa[13,16] 5.041 0.067 4.899 5.000 5.042 5.086 5.168 1.013 160 log.pa[13,17] 3.062 0.729 1.400 2.594 3.181 3.600 4.158 1.016 260 log.pa[13,18] 5.694 0.043 5.609 5.665 5.695 5.723 5.774 1.014 180 log.pa[13,19] 3.295 0.844 1.456 2.775 3.362 3.860 4.839 1.022 89 log.pa[13,20] 3.565 0.980 1.518 2.913 3.588 4.212 5.389 1.014 190 log.pa[13,21] 3.342 0.608 2.030 2.994 3.410 3.782 4.292 1.031 140 log.pa[13,22] 3.068 0.888 1.202 2.566 3.123 3.689 4.551 1.016 120 log.pa[13,23] 5.648 0.045 5.554 5.621 5.651 5.679 5.729 1.017 160 log.pa[13,24] 3.495 1.018 1.370 2.841 3.519 4.190 5.228 1.025 84 log.pa[13,25] 3.321 0.974 1.280 2.714 3.300 3.963 5.294 1.014 310 log.pa[13,26] 4.756 0.671 3.411 4.285 4.742 5.234 6.040 1.003 600 log.pa[13,27] 4.608 0.711 3.206 4.111 4.641 5.087 5.943 1.003 420 log.pa[13,28] 4.774 0.844 3.200 4.209 4.766 5.340 6.475 1.006 600 log.pa[13,29] 3.432 0.909 1.213 2.924 3.484 4.044 5.015 1.037 110 log.pa[13,30] 3.331 0.995 1.266 2.706 3.368 3.990 5.189 1.083 63 log.pa[13,31] 3.317 0.859 1.558 2.820 3.351 3.887 4.910 1.072 470 log.pa[13,32] 3.567 0.462 2.538 3.282 3.620 3.899 4.316 1.004 420 log.pa[13,33] 2.957 0.824 1.182 2.444 2.995 3.554 4.454 1.039 63 log.pa[13,34] 4.550 0.666 3.188 4.122 4.546 4.975 5.894 1.005 600 log.pa[13,35] 4.732 0.204 4.271 4.621 4.760 4.883 5.058 0.999 600 log.pa[13,36] 5.035 0.804 3.559 4.511 5.028 5.570 6.609 1.029 100 log.pa[13,37] 5.546 0.723 4.108 5.055 5.547 6.094 6.950 1.002 600 log.pa[13,38] 3.582 0.976 1.612 3.024 3.629 4.245 5.386 1.026 210 fm0L[1,1] 0.621 0.133 0.345 0.540 0.631 0.723 0.846 1.007 250 fm0L[1,2] 0.496 0.151 0.220 0.388 0.491 0.605 0.793 1.001 600 fm0L[1,3] 0.668 0.131 0.385 0.580 0.675 0.767 0.876 1.028 160 fm0L[1,4] 0.499 0.155 0.198 0.391 0.504 0.610 0.788 1.000 600 fm0L[1,5] 0.500 0.148 0.213 0.403 0.499 0.602 0.789 0.999 600 fm0L[1,6] 0.497 0.147 0.196 0.393 0.501 0.598 0.781 0.999 600 fm0L[1,7] 0.501 0.151 0.214 0.405 0.504 0.604 0.801 1.002 600 fm0L[1,8] 0.490 0.145 0.223 0.377 0.486 0.592 0.773 1.005 600 fm0L[1,9] 0.497 0.152 0.210 0.389 0.491 0.607 0.786 1.006 270 fm0L[1,10] 0.504 0.146 0.225 0.401 0.498 0.606 0.796 1.001 600 fm0L[1,11] 0.492 0.145 0.208 0.391 0.496 0.597 0.761 1.001 600 fm0L[1,12] 0.501 0.151 0.211 0.398 0.505 0.602 0.802 1.009 240 fm0L[1,13] 0.500 0.151 0.224 0.386 0.500 0.612 0.776 1.004 460 fm0L[1,14] 0.500 0.153 0.209 0.396 0.498 0.617 0.778 0.999 600 fm0L[1,15] 0.502 0.146 0.232 0.400 0.501 0.601 0.787 1.003 500 fm0L[1,16] 0.504 0.150 0.205 0.400 0.513 0.606 0.777 1.007 600 fm0L[1,17] 0.497 0.151 0.200 0.388 0.502 0.600 0.774 1.002 600 fm0L[1,18] 0.501 0.154 0.218 0.385 0.490 0.613 0.801 1.004 600 fm0L[1,19] 0.487 0.154 0.206 0.375 0.488 0.590 0.802 1.001 600 fm0L[1,20] 0.502 0.147 0.212 0.396 0.507 0.613 0.782 1.004 600 fm0L[1,21] 0.503 0.150 0.196 0.398 0.506 0.610 0.782 1.003 600 fm0L[1,22] 0.502 0.155 0.204 0.397 0.498 0.611 0.800 1.002 600 fm0L[1,23] 0.514 0.149 0.252 0.405 0.510 0.624 0.793 1.003 480 fm0L[1,24] 0.511 0.152 0.224 0.395 0.516 0.623 0.793 1.000 600 fm0L[1,25] 0.493 0.157 0.200 0.378 0.502 0.597 0.809 1.003 600 fm0L[1,26] 0.492 0.152 0.209 0.376 0.490 0.600 0.787 1.001 600 fm0L[1,27] 0.501 0.147 0.210 0.395 0.515 0.613 0.757 1.002 600 fm0L[1,28] 0.503 0.142 0.219 0.402 0.497 0.608 0.767 1.005 310 fm0L[1,29] 0.486 0.147 0.217 0.376 0.484 0.591 0.767 1.004 600 fm0L[1,30] 0.495 0.151 0.216 0.385 0.492 0.608 0.782 1.004 600 fm0L[1,31] 0.488 0.155 0.203 0.381 0.479 0.603 0.787 1.018 150 fm0L[1,32] 0.493 0.150 0.205 0.389 0.489 0.601 0.770 1.004 600 fm0L[1,33] 0.506 0.159 0.207 0.392 0.513 0.623 0.796 1.004 470 fm0L[1,34] 0.503 0.153 0.220 0.390 0.504 0.619 0.778 0.999 600 fm0L[1,35] 0.508 0.145 0.225 0.411 0.515 0.606 0.779 1.001 600 fm0L[1,36] 0.493 0.150 0.207 0.384 0.492 0.596 0.781 0.999 600 fm0L[1,37] 0.493 0.146 0.224 0.387 0.489 0.594 0.778 1.012 190 fm0L[1,38] 0.504 0.146 0.228 0.402 0.505 0.607 0.775 1.001 600 fm0L[2,1] 0.436 0.143 0.177 0.333 0.427 0.541 0.709 1.004 460 fm0L[2,2] 0.503 0.152 0.203 0.396 0.509 0.606 0.780 1.010 460 fm0L[2,3] 0.504 0.152 0.198 0.403 0.506 0.615 0.778 1.012 160 fm0L[2,4] 0.497 0.153 0.225 0.382 0.491 0.602 0.801 1.003 600 fm0L[2,5] 0.490 0.156 0.206 0.369 0.494 0.605 0.781 1.003 600 fm0L[2,6] 0.495 0.155 0.198 0.388 0.495 0.601 0.787 1.004 550 fm0L[2,7] 0.500 0.147 0.215 0.394 0.500 0.598 0.781 1.003 480 fm0L[2,8] 0.511 0.152 0.217 0.401 0.505 0.632 0.780 0.999 600 fm0L[2,9] 0.498 0.151 0.217 0.390 0.501 0.609 0.792 1.006 340 fm0L[2,10] 0.502 0.149 0.201 0.403 0.505 0.607 0.772 1.018 290 fm0L[2,11] 0.494 0.146 0.209 0.394 0.494 0.607 0.767 1.002 600 fm0L[2,12] 0.495 0.147 0.215 0.396 0.495 0.596 0.787 1.009 470 fm0L[2,13] 0.500 0.144 0.241 0.396 0.501 0.605 0.762 0.999 600 fm0L[2,14] 0.497 0.159 0.194 0.378 0.499 0.616 0.785 1.006 600 fm0L[2,15] 0.495 0.157 0.208 0.374 0.495 0.605 0.791 1.000 600 fm0L[2,16] 0.507 0.149 0.218 0.394 0.510 0.616 0.789 1.004 600 fm0L[2,17] 0.496 0.147 0.228 0.395 0.495 0.596 0.782 0.999 600 fm0L[2,18] 0.500 0.154 0.205 0.387 0.496 0.613 0.787 1.003 600 fm0L[2,19] 0.495 0.155 0.185 0.384 0.499 0.605 0.801 1.000 600 fm0L[2,20] 0.498 0.146 0.200 0.398 0.498 0.605 0.766 1.002 600 fm0L[2,21] 0.505 0.152 0.217 0.396 0.505 0.613 0.792 0.999 600 fm0L[2,22] 0.488 0.151 0.206 0.381 0.484 0.594 0.776 1.002 600 fm0L[2,23] 0.491 0.142 0.225 0.390 0.498 0.578 0.782 1.001 600 fm0L[2,24] 0.498 0.149 0.219 0.395 0.490 0.611 0.788 1.002 600 fm0L[2,25] 0.494 0.151 0.211 0.389 0.484 0.603 0.795 1.003 520 fm0L[2,26] 0.507 0.147 0.204 0.411 0.507 0.613 0.784 1.006 290 fm0L[2,27] 0.499 0.148 0.214 0.391 0.505 0.608 0.781 1.006 290 fm0L[2,28] 0.499 0.146 0.212 0.402 0.503 0.597 0.793 1.012 210 fm0L[2,29] 0.503 0.152 0.232 0.393 0.498 0.620 0.791 1.009 190 fm0L[2,30] 0.508 0.153 0.205 0.396 0.503 0.616 0.808 0.999 600 fm0L[2,31] 0.496 0.147 0.218 0.386 0.494 0.604 0.779 1.010 240 fm0L[2,32] 0.499 0.147 0.231 0.396 0.499 0.599 0.800 1.010 300 fm0L[2,33] 0.499 0.148 0.224 0.385 0.499 0.603 0.777 1.008 600 fm0L[2,34] 0.489 0.149 0.222 0.380 0.485 0.600 0.770 0.999 600 fm0L[2,35] 0.530 0.132 0.282 0.438 0.529 0.623 0.792 1.002 600 fm0L[2,36] 0.493 0.148 0.232 0.385 0.489 0.597 0.781 1.003 600 fm0L[2,37] 0.507 0.151 0.202 0.403 0.507 0.612 0.787 1.013 170 fm0L[2,38] 0.502 0.158 0.205 0.387 0.499 0.619 0.788 0.999 600 fm0L[3,1] 0.494 0.144 0.212 0.396 0.494 0.587 0.757 0.999 600 fm0L[3,2] 0.509 0.149 0.231 0.394 0.517 0.612 0.787 1.004 450 fm0L[3,3] 0.554 0.144 0.267 0.454 0.562 0.656 0.806 1.004 390 fm0L[3,4] 0.498 0.148 0.220 0.389 0.501 0.608 0.775 1.000 600 fm0L[3,5] 0.498 0.155 0.213 0.387 0.494 0.608 0.785 0.999 600 fm0L[3,6] 0.513 0.153 0.229 0.409 0.509 0.621 0.808 1.000 600 fm0L[3,7] 0.495 0.141 0.240 0.394 0.491 0.591 0.773 0.999 600 fm0L[3,8] 0.501 0.150 0.208 0.395 0.504 0.608 0.783 1.006 600 fm0L[3,9] 0.496 0.145 0.234 0.392 0.495 0.598 0.784 0.999 600 fm0L[3,10] 0.508 0.148 0.239 0.392 0.508 0.612 0.803 0.999 600 fm0L[3,11] 0.500 0.153 0.188 0.395 0.506 0.611 0.777 0.999 600 fm0L[3,12] 0.504 0.148 0.219 0.394 0.507 0.600 0.794 1.003 600 fm0L[3,13] 0.496 0.150 0.214 0.390 0.495 0.602 0.771 0.999 600 fm0L[3,14] 0.506 0.154 0.203 0.396 0.508 0.618 0.784 1.014 600 fm0L[3,15] 0.500 0.150 0.222 0.392 0.496 0.610 0.784 1.001 600 fm0L[3,16] 0.496 0.150 0.194 0.394 0.496 0.600 0.775 0.999 600 fm0L[3,17] 0.500 0.150 0.218 0.388 0.492 0.605 0.785 1.001 600 fm0L[3,18] 0.502 0.153 0.212 0.391 0.502 0.607 0.812 1.003 600 fm0L[3,19] 0.494 0.155 0.195 0.380 0.491 0.604 0.794 1.008 280 fm0L[3,20] 0.508 0.151 0.233 0.401 0.511 0.616 0.785 1.002 600 fm0L[3,21] 0.495 0.157 0.207 0.376 0.495 0.605 0.797 1.014 190 fm0L[3,22] 0.512 0.149 0.249 0.404 0.512 0.622 0.782 1.004 370 fm0L[3,23] 0.509 0.152 0.212 0.405 0.515 0.611 0.794 1.005 600 fm0L[3,24] 0.504 0.151 0.222 0.398 0.495 0.610 0.794 1.000 600 fm0L[3,25] 0.491 0.146 0.218 0.387 0.497 0.593 0.755 1.000 600 fm0L[3,26] 0.505 0.147 0.221 0.401 0.505 0.610 0.789 1.000 600 fm0L[3,27] 0.493 0.154 0.206 0.376 0.493 0.608 0.784 1.000 600 fm0L[3,28] 0.507 0.149 0.225 0.401 0.504 0.618 0.796 1.007 600 fm0L[3,29] 0.496 0.148 0.213 0.402 0.494 0.597 0.794 1.013 460 fm0L[3,30] 0.502 0.149 0.229 0.393 0.509 0.603 0.793 1.002 600 fm0L[3,31] 0.499 0.158 0.214 0.377 0.502 0.613 0.791 0.999 600 fm0L[3,32] 0.512 0.156 0.217 0.398 0.511 0.616 0.804 1.009 600 fm0L[3,33] 0.496 0.152 0.205 0.387 0.493 0.605 0.769 1.003 490 fm0L[3,34] 0.487 0.148 0.207 0.376 0.488 0.600 0.776 1.005 560 fm0L[3,35] 0.500 0.148 0.209 0.404 0.500 0.604 0.797 1.006 380 fm0L[3,36] 0.506 0.150 0.223 0.395 0.507 0.618 0.790 1.000 600 fm0L[3,37] 0.510 0.147 0.243 0.407 0.512 0.605 0.798 0.999 600 fm0L[3,38] 0.497 0.163 0.201 0.376 0.500 0.624 0.798 1.000 600 fm0L[4,1] 0.505 0.152 0.226 0.395 0.498 0.612 0.814 0.999 600 fm0L[4,2] 0.501 0.148 0.224 0.394 0.497 0.606 0.798 1.007 600 fm0L[4,3] 0.506 0.152 0.213 0.398 0.510 0.618 0.793 1.001 600 fm0L[4,4] 0.504 0.147 0.209 0.399 0.501 0.616 0.774 1.000 600 fm0L[4,5] 0.490 0.153 0.186 0.383 0.495 0.597 0.778 0.999 600 fm0L[4,6] 0.534 0.148 0.229 0.425 0.542 0.636 0.814 0.999 600 fm0L[4,7] 0.498 0.150 0.206 0.392 0.507 0.606 0.792 1.000 600 fm0L[4,8] 0.502 0.147 0.220 0.398 0.508 0.613 0.776 1.007 600 fm0L[4,9] 0.507 0.152 0.213 0.396 0.507 0.618 0.788 1.000 600 fm0L[4,10] 0.499 0.146 0.230 0.393 0.500 0.604 0.785 1.006 320 fm0L[4,11] 0.488 0.149 0.191 0.385 0.486 0.593 0.782 1.001 600 fm0L[4,12] 0.512 0.147 0.225 0.409 0.517 0.621 0.791 0.999 600 fm0L[4,13] 0.492 0.148 0.213 0.388 0.485 0.598 0.777 1.003 490 fm0L[4,14] 0.502 0.146 0.207 0.396 0.503 0.607 0.770 1.021 97 fm0L[4,15] 0.510 0.154 0.222 0.394 0.519 0.616 0.803 1.000 600 fm0L[4,16] 0.500 0.152 0.222 0.397 0.490 0.606 0.802 1.007 430 fm0L[4,17] 0.497 0.151 0.221 0.389 0.496 0.604 0.800 1.002 600 fm0L[4,18] 0.506 0.151 0.219 0.403 0.505 0.601 0.816 1.001 600 fm0L[4,19] 0.502 0.149 0.210 0.395 0.509 0.604 0.797 1.005 400 fm0L[4,20] 0.505 0.154 0.225 0.393 0.507 0.619 0.794 1.004 600 fm0L[4,21] 0.498 0.149 0.231 0.394 0.505 0.606 0.789 1.001 600 fm0L[4,22] 0.487 0.154 0.195 0.373 0.487 0.587 0.781 1.002 600 fm0L[4,23] 0.506 0.154 0.208 0.399 0.504 0.620 0.799 1.002 510 fm0L[4,24] 0.488 0.153 0.223 0.369 0.485 0.605 0.776 1.002 600 fm0L[4,25] 0.500 0.147 0.219 0.396 0.496 0.610 0.787 1.015 170 fm0L[4,26] 0.509 0.144 0.229 0.397 0.504 0.616 0.776 1.003 600 fm0L[4,27] 0.501 0.150 0.206 0.393 0.505 0.609 0.786 1.005 600 fm0L[4,28] 0.491 0.152 0.195 0.380 0.488 0.614 0.774 1.004 390 fm0L[4,29] 0.514 0.156 0.237 0.400 0.512 0.624 0.819 0.999 600 fm0L[4,30] 0.506 0.148 0.248 0.393 0.494 0.617 0.786 1.000 600 fm0L[4,31] 0.503 0.153 0.218 0.395 0.501 0.612 0.786 1.000 600 fm0L[4,32] 0.495 0.153 0.214 0.379 0.492 0.604 0.799 1.004 360 fm0L[4,33] 0.487 0.157 0.207 0.364 0.485 0.598 0.781 1.000 600 fm0L[4,34] 0.504 0.151 0.211 0.408 0.502 0.610 0.795 1.001 600 fm0L[4,35] 0.503 0.155 0.215 0.397 0.500 0.606 0.793 1.000 600 fm0L[4,36] 0.506 0.149 0.216 0.404 0.508 0.613 0.784 0.999 600 fm0L[4,37] 0.499 0.159 0.201 0.388 0.499 0.600 0.809 1.003 440 fm0L[4,38] 0.505 0.148 0.235 0.402 0.505 0.610 0.809 1.001 600 fm0L[5,1] 0.490 0.151 0.222 0.382 0.491 0.593 0.780 1.003 440 fm0L[5,2] 0.497 0.152 0.199 0.387 0.495 0.614 0.796 1.005 600 fm0L[5,3] 0.555 0.142 0.265 0.451 0.560 0.656 0.804 1.002 600 fm0L[5,4] 0.504 0.146 0.211 0.402 0.503 0.611 0.769 1.002 600 fm0L[5,5] 0.500 0.155 0.214 0.387 0.492 0.610 0.815 1.002 600 fm0L[5,6] 0.555 0.144 0.245 0.453 0.562 0.657 0.812 1.006 280 fm0L[5,7] 0.513 0.147 0.219 0.415 0.515 0.625 0.776 1.017 290 fm0L[5,8] 0.512 0.152 0.218 0.398 0.510 0.622 0.795 1.005 310 fm0L[5,9] 0.489 0.155 0.219 0.371 0.488 0.601 0.796 1.001 600 fm0L[5,10] 0.499 0.153 0.207 0.388 0.502 0.606 0.784 1.003 440 fm0L[5,11] 0.500 0.146 0.223 0.400 0.500 0.598 0.782 1.006 310 fm0L[5,12] 0.489 0.153 0.201 0.387 0.481 0.604 0.780 1.000 600 fm0L[5,13] 0.491 0.152 0.218 0.377 0.495 0.594 0.786 1.005 470 fm0L[5,14] 0.511 0.151 0.232 0.401 0.504 0.628 0.809 1.004 370 fm0L[5,15] 0.500 0.146 0.223 0.394 0.500 0.607 0.770 1.000 600 fm0L[5,16] 0.493 0.147 0.224 0.392 0.490 0.594 0.782 1.008 350 fm0L[5,17] 0.497 0.149 0.204 0.392 0.499 0.609 0.781 1.003 430 fm0L[5,18] 0.504 0.153 0.191 0.396 0.506 0.617 0.806 1.012 150 fm0L[5,19] 0.509 0.150 0.245 0.395 0.505 0.625 0.798 1.014 160 fm0L[5,20] 0.510 0.141 0.244 0.403 0.516 0.620 0.754 1.005 370 fm0L[5,21] 0.508 0.154 0.226 0.393 0.506 0.618 0.785 1.000 600 fm0L[5,22] 0.502 0.142 0.249 0.399 0.505 0.602 0.779 0.999 600 fm0L[5,23] 0.493 0.147 0.197 0.389 0.490 0.600 0.780 1.003 430 fm0L[5,24] 0.501 0.151 0.202 0.396 0.493 0.605 0.788 1.013 300 fm0L[5,25] 0.508 0.148 0.224 0.400 0.505 0.625 0.802 0.999 600 fm0L[5,26] 0.499 0.149 0.243 0.385 0.505 0.616 0.773 0.999 600 fm0L[5,27] 0.492 0.154 0.186 0.388 0.488 0.598 0.784 1.001 600 fm0L[5,28] 0.501 0.152 0.210 0.400 0.506 0.607 0.807 1.003 600 fm0L[5,29] 0.504 0.151 0.222 0.398 0.504 0.610 0.786 1.004 520 fm0L[5,30] 0.511 0.151 0.235 0.400 0.518 0.618 0.786 1.002 600 fm0L[5,31] 0.501 0.148 0.218 0.398 0.501 0.604 0.792 0.999 600 fm0L[5,32] 0.519 0.156 0.211 0.410 0.519 0.634 0.793 1.000 600 fm0L[5,33] 0.490 0.152 0.220 0.377 0.489 0.593 0.779 1.000 600 fm0L[5,34] 0.491 0.148 0.206 0.385 0.496 0.609 0.750 1.004 400 fm0L[5,35] 0.513 0.150 0.210 0.413 0.516 0.613 0.785 1.003 600 fm0L[5,36] 0.491 0.151 0.201 0.385 0.487 0.600 0.777 0.999 600 fm0L[5,37] 0.499 0.147 0.220 0.394 0.498 0.608 0.778 1.002 520 fm0L[5,38] 0.503 0.144 0.242 0.398 0.498 0.602 0.784 1.000 600 fm0L[6,1] 0.496 0.158 0.196 0.383 0.490 0.612 0.808 0.999 600 fm0L[6,2] 0.508 0.152 0.229 0.404 0.518 0.605 0.811 1.003 600 fm0L[6,3] 0.495 0.147 0.219 0.388 0.497 0.599 0.779 1.001 600 fm0L[6,4] 0.499 0.152 0.229 0.387 0.496 0.608 0.796 1.002 600 fm0L[6,5] 0.496 0.149 0.218 0.385 0.498 0.603 0.782 1.022 130 fm0L[6,6] 0.499 0.144 0.232 0.388 0.502 0.598 0.789 1.002 550 fm0L[6,7] 0.495 0.155 0.212 0.384 0.497 0.605 0.800 1.002 600 fm0L[6,8] 0.497 0.149 0.203 0.396 0.496 0.595 0.792 1.001 600 fm0L[6,9] 0.498 0.150 0.198 0.401 0.495 0.615 0.783 1.000 600 fm0L[6,10] 0.495 0.153 0.201 0.393 0.501 0.599 0.794 1.006 600 fm0L[6,11] 0.489 0.153 0.202 0.375 0.486 0.606 0.773 0.999 600 fm0L[6,12] 0.510 0.154 0.211 0.402 0.510 0.615 0.788 1.004 550 fm0L[6,13] 0.497 0.147 0.213 0.398 0.498 0.599 0.782 1.001 600 fm0L[6,14] 0.506 0.147 0.215 0.401 0.516 0.611 0.784 1.006 580 fm0L[6,15] 0.509 0.148 0.228 0.397 0.512 0.624 0.760 1.000 600 fm0L[6,16] 0.509 0.144 0.212 0.410 0.514 0.618 0.776 1.004 600 fm0L[6,17] 0.501 0.159 0.202 0.384 0.496 0.626 0.801 1.000 600 fm0L[6,18] 0.494 0.150 0.204 0.384 0.494 0.598 0.778 1.000 600 fm0L[6,19] 0.496 0.146 0.221 0.394 0.498 0.598 0.768 1.001 600 fm0L[6,20] 0.495 0.156 0.211 0.386 0.497 0.604 0.783 1.006 600 fm0L[6,21] 0.494 0.149 0.231 0.384 0.493 0.597 0.778 1.002 600 fm0L[6,22] 0.503 0.153 0.198 0.400 0.501 0.608 0.790 1.003 600 fm0L[6,23] 0.506 0.153 0.222 0.395 0.503 0.602 0.807 1.000 600 fm0L[6,24] 0.495 0.149 0.218 0.386 0.493 0.609 0.778 1.004 350 fm0L[6,25] 0.503 0.155 0.200 0.397 0.509 0.621 0.782 1.006 300 fm0L[6,26] 0.504 0.148 0.213 0.409 0.498 0.602 0.784 1.000 600 fm0L[6,27] 0.500 0.149 0.208 0.395 0.497 0.606 0.772 1.003 600 fm0L[6,28] 0.491 0.153 0.188 0.380 0.484 0.604 0.786 1.006 480 fm0L[6,29] 0.504 0.153 0.196 0.401 0.500 0.612 0.802 1.000 600 fm0L[6,30] 0.493 0.149 0.219 0.387 0.493 0.602 0.767 1.002 600 fm0L[6,31] 0.505 0.152 0.224 0.389 0.503 0.617 0.787 1.001 600 fm0L[6,32] 0.545 0.140 0.261 0.454 0.544 0.641 0.807 1.021 120 fm0L[6,33] 0.502 0.152 0.208 0.394 0.506 0.617 0.779 1.004 350 fm0L[6,34] 0.495 0.147 0.217 0.390 0.486 0.595 0.773 1.001 600 fm0L[6,35] 0.609 0.115 0.368 0.528 0.617 0.691 0.822 1.004 370 fm0L[6,36] 0.503 0.148 0.230 0.391 0.499 0.606 0.790 1.000 600 fm0L[6,37] 0.508 0.145 0.232 0.415 0.507 0.608 0.799 1.007 400 fm0L[6,38] 0.500 0.149 0.200 0.395 0.504 0.605 0.784 1.002 570 fm0L[7,1] 0.500 0.148 0.224 0.397 0.504 0.602 0.790 1.005 470 fm0L[7,2] 0.507 0.154 0.250 0.387 0.501 0.621 0.813 1.001 600 fm0L[7,3] 0.490 0.150 0.216 0.383 0.486 0.590 0.769 1.011 170 fm0L[7,4] 0.498 0.154 0.213 0.390 0.504 0.608 0.789 1.000 600 fm0L[7,5] 0.501 0.148 0.231 0.388 0.498 0.604 0.793 0.999 600 fm0L[7,6] 0.500 0.148 0.209 0.401 0.504 0.607 0.782 0.999 600 fm0L[7,7] 0.504 0.156 0.185 0.394 0.510 0.618 0.774 1.007 600 fm0L[7,8] 0.506 0.150 0.224 0.398 0.511 0.611 0.812 1.003 600 fm0L[7,9] 0.498 0.155 0.225 0.377 0.499 0.612 0.789 1.001 600 fm0L[7,10] 0.500 0.150 0.231 0.391 0.501 0.607 0.803 1.000 600 fm0L[7,11] 0.508 0.142 0.230 0.408 0.507 0.612 0.776 1.003 600 fm0L[7,12] 0.492 0.153 0.205 0.385 0.490 0.601 0.777 1.002 600 fm0L[7,13] 0.496 0.146 0.225 0.389 0.499 0.604 0.763 1.002 540 fm0L[7,14] 0.503 0.154 0.210 0.397 0.506 0.614 0.783 1.003 440 fm0L[7,15] 0.494 0.155 0.201 0.384 0.491 0.603 0.805 0.999 600 fm0L[7,16] 0.499 0.146 0.216 0.398 0.495 0.594 0.781 1.002 600 fm0L[7,17] 0.506 0.148 0.232 0.406 0.514 0.614 0.761 1.004 600 fm0L[7,18] 0.503 0.155 0.212 0.391 0.507 0.612 0.787 1.033 130 fm0L[7,19] 0.498 0.153 0.196 0.388 0.504 0.608 0.773 1.000 600 fm0L[7,20] 0.492 0.150 0.212 0.387 0.492 0.604 0.777 1.002 600 fm0L[7,21] 0.496 0.150 0.221 0.389 0.491 0.598 0.803 1.003 600 fm0L[7,22] 0.504 0.155 0.193 0.394 0.508 0.616 0.779 1.005 600 fm0L[7,23] 0.506 0.149 0.240 0.397 0.503 0.617 0.789 1.005 310 fm0L[7,24] 0.497 0.144 0.214 0.398 0.501 0.598 0.773 1.003 460 fm0L[7,25] 0.482 0.154 0.190 0.376 0.483 0.586 0.791 1.000 600 fm0L[7,26] 0.503 0.146 0.228 0.398 0.508 0.605 0.772 0.999 600 fm0L[7,27] 0.493 0.151 0.215 0.389 0.492 0.595 0.776 1.013 260 fm0L[7,28] 0.488 0.152 0.194 0.381 0.485 0.598 0.778 1.009 240 fm0L[7,29] 0.516 0.155 0.201 0.404 0.518 0.629 0.795 1.006 300 fm0L[7,30] 0.496 0.144 0.236 0.388 0.495 0.598 0.763 1.002 600 fm0L[7,31] 0.505 0.159 0.219 0.386 0.504 0.628 0.795 1.006 280 fm0L[7,32] 0.545 0.150 0.234 0.442 0.552 0.658 0.817 1.001 600 fm0L[7,33] 0.501 0.146 0.204 0.400 0.494 0.610 0.770 1.010 180 fm0L[7,34] 0.495 0.161 0.206 0.377 0.495 0.608 0.822 1.018 140 fm0L[7,35] 0.645 0.116 0.411 0.570 0.652 0.726 0.845 1.007 360 fm0L[7,36] 0.492 0.146 0.198 0.392 0.492 0.602 0.758 1.001 600 fm0L[7,37] 0.511 0.152 0.209 0.399 0.513 0.624 0.790 1.006 600 fm0L[7,38] 0.496 0.158 0.202 0.384 0.503 0.603 0.799 1.001 600 fm0L[8,1] 0.507 0.155 0.205 0.405 0.502 0.621 0.796 1.008 240 fm0L[8,2] 0.501 0.150 0.211 0.394 0.497 0.607 0.793 1.000 600 fm0L[8,3] 0.489 0.144 0.205 0.384 0.487 0.595 0.770 1.004 390 fm0L[8,4] 0.503 0.151 0.209 0.390 0.511 0.614 0.780 1.000 600 fm0L[8,5] 0.484 0.157 0.197 0.374 0.485 0.598 0.790 1.010 250 fm0L[8,6] 0.500 0.147 0.222 0.391 0.501 0.601 0.785 1.005 530 fm0L[8,7] 0.499 0.149 0.216 0.394 0.496 0.609 0.768 1.002 600 fm0L[8,8] 0.504 0.154 0.233 0.377 0.510 0.618 0.793 1.002 600 fm0L[8,9] 0.493 0.148 0.206 0.394 0.485 0.588 0.791 1.020 600 fm0L[8,10] 0.500 0.151 0.219 0.396 0.500 0.613 0.789 0.999 600 fm0L[8,11] 0.498 0.149 0.212 0.386 0.499 0.602 0.775 1.001 600 fm0L[8,12] 0.493 0.158 0.201 0.373 0.496 0.611 0.782 1.006 350 fm0L[8,13] 0.495 0.143 0.221 0.390 0.491 0.597 0.780 0.999 600 fm0L[8,14] 0.495 0.147 0.213 0.398 0.494 0.591 0.792 1.001 600 fm0L[8,15] 0.495 0.149 0.205 0.393 0.489 0.605 0.772 1.003 600 fm0L[8,16] 0.496 0.151 0.208 0.393 0.502 0.596 0.791 1.004 600 fm0L[8,17] 0.515 0.150 0.234 0.398 0.515 0.627 0.785 1.004 380 fm0L[8,18] 0.507 0.156 0.197 0.391 0.504 0.619 0.778 0.999 600 fm0L[8,19] 0.500 0.156 0.191 0.388 0.500 0.612 0.804 0.999 600 fm0L[8,20] 0.499 0.152 0.223 0.390 0.497 0.613 0.789 1.011 170 fm0L[8,21] 0.499 0.151 0.232 0.393 0.498 0.604 0.775 1.004 340 fm0L[8,22] 0.499 0.159 0.173 0.391 0.498 0.610 0.800 1.004 340 fm0L[8,23] 0.503 0.153 0.216 0.392 0.501 0.608 0.804 1.000 600 fm0L[8,24] 0.492 0.156 0.201 0.378 0.493 0.607 0.784 1.022 220 fm0L[8,25] 0.498 0.152 0.201 0.394 0.499 0.606 0.779 1.000 600 fm0L[8,26] 0.505 0.154 0.187 0.398 0.509 0.623 0.798 1.005 600 fm0L[8,27] 0.507 0.153 0.222 0.398 0.502 0.619 0.808 1.008 320 fm0L[8,28] 0.508 0.155 0.196 0.399 0.513 0.621 0.790 1.017 150 fm0L[8,29] 0.489 0.149 0.194 0.386 0.482 0.593 0.764 1.007 320 fm0L[8,30] 0.498 0.158 0.209 0.379 0.494 0.613 0.794 1.000 600 fm0L[8,31] 0.507 0.143 0.214 0.403 0.509 0.607 0.772 1.003 600 fm0L[8,32] 0.521 0.151 0.247 0.412 0.520 0.628 0.814 1.010 470 fm0L[8,33] 0.501 0.149 0.204 0.396 0.506 0.609 0.779 1.002 600 fm0L[8,34] 0.492 0.150 0.212 0.382 0.490 0.594 0.808 1.000 600 fm0L[8,35] 0.508 0.153 0.226 0.393 0.498 0.625 0.788 1.004 350 fm0L[8,36] 0.497 0.148 0.219 0.386 0.500 0.604 0.783 1.001 600 fm0L[8,37] 0.499 0.149 0.222 0.388 0.493 0.615 0.776 0.998 600 fm0L[8,38] 0.503 0.148 0.217 0.396 0.515 0.613 0.766 1.013 190 fm0L[9,1] 0.503 0.152 0.218 0.394 0.501 0.615 0.789 1.011 230 fm0L[9,2] 0.498 0.154 0.205 0.387 0.497 0.612 0.777 1.000 600 fm0L[9,3] 0.506 0.153 0.216 0.397 0.497 0.627 0.783 1.014 600 fm0L[9,4] 0.505 0.155 0.222 0.387 0.507 0.615 0.800 0.999 600 fm0L[9,5] 0.497 0.151 0.203 0.391 0.507 0.599 0.773 1.008 370 fm0L[9,6] 0.500 0.154 0.226 0.390 0.490 0.613 0.803 1.015 130 fm0L[9,7] 0.499 0.150 0.210 0.395 0.503 0.601 0.784 0.999 600 fm0L[9,8] 0.508 0.153 0.215 0.397 0.504 0.613 0.801 1.001 600 fm0L[9,9] 0.504 0.153 0.207 0.389 0.511 0.616 0.775 1.001 600 fm0L[9,10] 0.502 0.154 0.200 0.389 0.510 0.613 0.798 1.006 600 fm0L[9,11] 0.500 0.154 0.203 0.385 0.499 0.615 0.772 1.007 390 fm0L[9,12] 0.497 0.151 0.234 0.384 0.492 0.597 0.785 1.005 590 fm0L[9,13] 0.502 0.148 0.224 0.392 0.503 0.604 0.786 1.000 600 fm0L[9,14] 0.501 0.140 0.249 0.400 0.499 0.600 0.777 1.004 600 fm0L[9,15] 0.501 0.150 0.225 0.394 0.493 0.610 0.788 1.005 600 fm0L[9,16] 0.500 0.153 0.213 0.396 0.499 0.604 0.797 1.003 600 fm0L[9,17] 0.502 0.150 0.208 0.396 0.490 0.615 0.790 1.013 270 fm0L[9,18] 0.507 0.154 0.221 0.400 0.514 0.612 0.794 1.002 560 fm0L[9,19] 0.491 0.153 0.196 0.377 0.491 0.601 0.773 1.007 430 fm0L[9,20] 0.511 0.154 0.192 0.406 0.511 0.624 0.786 1.010 210 fm0L[9,21] 0.502 0.157 0.201 0.387 0.497 0.622 0.789 1.001 600 fm0L[9,22] 0.501 0.144 0.236 0.401 0.505 0.597 0.794 1.020 140 fm0L[9,23] 0.489 0.155 0.207 0.379 0.492 0.595 0.800 0.999 600 fm0L[9,24] 0.493 0.152 0.207 0.383 0.491 0.604 0.783 1.002 600 fm0L[9,25] 0.507 0.149 0.211 0.404 0.509 0.612 0.793 1.001 600 fm0L[9,26] 0.502 0.147 0.221 0.401 0.500 0.601 0.775 1.006 330 fm0L[9,27] 0.504 0.150 0.230 0.393 0.496 0.622 0.781 1.003 470 fm0L[9,28] 0.499 0.153 0.203 0.392 0.501 0.606 0.783 1.006 600 fm0L[9,29] 0.500 0.154 0.210 0.390 0.506 0.614 0.779 1.004 600 fm0L[9,30] 0.499 0.148 0.222 0.396 0.495 0.602 0.798 1.003 470 fm0L[9,31] 0.501 0.151 0.210 0.391 0.507 0.611 0.787 0.999 600 fm0L[9,32] 0.506 0.148 0.202 0.406 0.509 0.607 0.784 1.002 600 fm0L[9,33] 0.506 0.156 0.192 0.399 0.510 0.621 0.795 1.002 600 fm0L[9,34] 0.501 0.150 0.235 0.385 0.502 0.607 0.783 1.000 600 fm0L[9,35] 0.515 0.147 0.225 0.412 0.509 0.620 0.780 1.008 430 fm0L[9,36] 0.489 0.147 0.217 0.383 0.485 0.597 0.752 1.007 600 fm0L[9,37] 0.501 0.152 0.205 0.384 0.502 0.600 0.804 1.003 600 fm0L[9,38] 0.506 0.153 0.216 0.394 0.511 0.615 0.797 1.004 580 fm0L[10,1] 0.501 0.158 0.175 0.387 0.496 0.617 0.791 1.020 150 fm0L[10,2] 0.506 0.145 0.237 0.405 0.506 0.613 0.783 1.006 260 fm0L[10,3] 0.594 0.141 0.292 0.508 0.605 0.699 0.829 1.006 320 fm0L[10,4] 0.508 0.151 0.217 0.402 0.504 0.620 0.789 1.002 600 fm0L[10,5] 0.508 0.160 0.218 0.396 0.504 0.621 0.826 1.002 600 fm0L[10,6] 0.515 0.148 0.226 0.418 0.522 0.622 0.789 1.001 600 fm0L[10,7] 0.494 0.150 0.220 0.391 0.496 0.598 0.774 1.002 600 fm0L[10,8] 0.501 0.153 0.213 0.388 0.501 0.613 0.784 0.999 600 fm0L[10,9] 0.498 0.144 0.221 0.397 0.505 0.596 0.778 1.000 600 fm0L[10,10] 0.508 0.152 0.220 0.404 0.509 0.610 0.806 0.999 600 fm0L[10,11] 0.543 0.149 0.252 0.440 0.547 0.649 0.814 0.999 600 fm0L[10,12] 0.498 0.150 0.211 0.394 0.497 0.601 0.803 1.004 600 fm0L[10,13] 0.514 0.145 0.235 0.407 0.523 0.615 0.789 1.003 470 fm0L[10,14] 0.498 0.149 0.211 0.392 0.497 0.603 0.782 1.001 600 fm0L[10,15] 0.489 0.148 0.202 0.389 0.489 0.593 0.774 1.003 600 fm0L[10,16] 0.507 0.151 0.224 0.405 0.502 0.612 0.798 1.001 600 fm0L[10,17] 0.506 0.149 0.228 0.405 0.507 0.611 0.771 1.006 290 fm0L[10,18] 0.506 0.153 0.207 0.398 0.507 0.615 0.797 0.999 600 fm0L[10,19] 0.530 0.148 0.250 0.422 0.533 0.630 0.795 1.002 600 fm0L[10,20] 0.488 0.152 0.206 0.378 0.491 0.603 0.761 1.002 600 fm0L[10,21] 0.500 0.151 0.239 0.388 0.492 0.603 0.793 0.999 600 fm0L[10,22] 0.504 0.153 0.195 0.400 0.499 0.617 0.787 1.008 280 fm0L[10,23] 0.505 0.146 0.237 0.398 0.506 0.607 0.780 1.001 600 fm0L[10,24] 0.492 0.151 0.214 0.383 0.484 0.606 0.795 1.001 600 fm0L[10,25] 0.497 0.150 0.215 0.384 0.502 0.605 0.778 0.999 600 fm0L[10,26] 0.582 0.132 0.327 0.487 0.590 0.673 0.827 1.002 600 fm0L[10,27] 0.485 0.151 0.198 0.377 0.485 0.588 0.787 1.002 600 fm0L[10,28] 0.493 0.143 0.202 0.400 0.494 0.595 0.764 1.005 600 fm0L[10,29] 0.506 0.155 0.212 0.395 0.510 0.631 0.790 1.004 360 fm0L[10,30] 0.501 0.149 0.228 0.397 0.501 0.605 0.789 1.004 390 fm0L[10,31] 0.514 0.151 0.232 0.409 0.513 0.611 0.808 1.012 150 fm0L[10,32] 0.510 0.148 0.216 0.406 0.509 0.608 0.807 1.005 320 fm0L[10,33] 0.507 0.142 0.245 0.406 0.499 0.603 0.793 1.000 600 fm0L[10,34] 0.490 0.150 0.229 0.378 0.481 0.601 0.778 0.999 600 fm0L[10,35] 0.494 0.151 0.202 0.393 0.496 0.598 0.777 1.001 600 fm0L[10,36] 0.506 0.150 0.210 0.407 0.509 0.608 0.786 1.002 590 fm0L[10,37] 0.505 0.148 0.221 0.398 0.499 0.610 0.782 0.999 600 fm0L[10,38] 0.502 0.156 0.202 0.388 0.508 0.619 0.785 1.011 330 fm0L[11,1] 0.505 0.150 0.211 0.395 0.509 0.624 0.773 1.006 370 fm0L[11,2] 0.501 0.149 0.201 0.402 0.505 0.604 0.776 1.000 600 fm0L[11,3] 0.608 0.149 0.295 0.515 0.620 0.719 0.847 1.024 280 fm0L[11,4] 0.495 0.145 0.222 0.395 0.485 0.599 0.790 1.022 140 fm0L[11,5] 0.491 0.153 0.191 0.384 0.484 0.604 0.780 1.004 480 fm0L[11,6] 0.501 0.150 0.225 0.388 0.497 0.606 0.799 1.009 190 fm0L[11,7] 0.502 0.141 0.235 0.406 0.496 0.597 0.799 1.004 400 fm0L[11,8] 0.499 0.152 0.203 0.394 0.496 0.607 0.784 1.000 600 fm0L[11,9] 0.503 0.151 0.203 0.391 0.513 0.607 0.783 1.000 600 fm0L[11,10] 0.497 0.158 0.207 0.382 0.490 0.621 0.794 1.001 600 fm0L[11,11] 0.503 0.151 0.212 0.405 0.498 0.612 0.794 1.007 600 fm0L[11,12] 0.509 0.150 0.221 0.402 0.506 0.618 0.817 1.003 600 fm0L[11,13] 0.512 0.154 0.197 0.402 0.513 0.631 0.796 0.999 600 fm0L[11,14] 0.503 0.149 0.208 0.399 0.510 0.616 0.764 1.002 600 fm0L[11,15] 0.514 0.157 0.223 0.404 0.513 0.628 0.806 1.000 600 fm0L[11,16] 0.505 0.147 0.239 0.405 0.503 0.611 0.781 1.002 600 fm0L[11,17] 0.498 0.156 0.215 0.380 0.491 0.612 0.790 1.005 410 fm0L[11,18] 0.504 0.152 0.211 0.395 0.500 0.615 0.791 1.010 360 fm0L[11,19] 0.521 0.147 0.211 0.427 0.522 0.626 0.789 1.003 530 fm0L[11,20] 0.494 0.150 0.215 0.377 0.492 0.601 0.767 0.999 600 fm0L[11,21] 0.497 0.147 0.224 0.393 0.500 0.603 0.769 0.999 600 fm0L[11,22] 0.500 0.156 0.205 0.383 0.504 0.605 0.794 1.002 600 fm0L[11,23] 0.498 0.140 0.224 0.401 0.493 0.595 0.775 1.003 500 fm0L[11,24] 0.501 0.151 0.228 0.385 0.507 0.614 0.795 1.013 300 fm0L[11,25] 0.494 0.153 0.197 0.382 0.492 0.610 0.770 0.999 600 fm0L[11,26] 0.495 0.157 0.196 0.375 0.492 0.611 0.792 1.005 290 fm0L[11,27] 0.488 0.143 0.221 0.389 0.487 0.589 0.775 1.003 600 fm0L[11,28] 0.498 0.150 0.219 0.389 0.495 0.605 0.788 1.004 500 fm0L[11,29] 0.491 0.146 0.221 0.380 0.491 0.596 0.778 0.999 600 fm0L[11,30] 0.499 0.153 0.214 0.380 0.508 0.604 0.781 1.015 150 fm0L[11,31] 0.505 0.148 0.230 0.390 0.506 0.618 0.793 1.003 600 fm0L[11,32] 0.498 0.140 0.215 0.402 0.498 0.597 0.756 1.000 600 fm0L[11,33] 0.491 0.146 0.214 0.385 0.486 0.599 0.763 1.006 350 fm0L[11,34] 0.498 0.149 0.206 0.386 0.502 0.605 0.775 1.003 600 fm0L[11,35] 0.507 0.144 0.213 0.411 0.521 0.607 0.764 1.004 530 fm0L[11,36] 0.500 0.156 0.213 0.391 0.500 0.613 0.801 1.000 600 fm0L[11,37] 0.497 0.155 0.198 0.394 0.495 0.609 0.792 1.004 600 fm0L[11,38] 0.514 0.152 0.219 0.410 0.518 0.617 0.795 1.002 600 fm0L[12,1] 0.510 0.150 0.229 0.399 0.516 0.615 0.799 1.001 600 fm0L[12,2] 0.492 0.148 0.206 0.385 0.494 0.596 0.775 1.003 460 fm0L[12,3] 0.503 0.147 0.215 0.398 0.502 0.608 0.788 1.002 600 fm0L[12,4] 0.508 0.151 0.202 0.402 0.517 0.612 0.801 1.016 370 fm0L[12,5] 0.506 0.151 0.199 0.402 0.504 0.615 0.785 1.002 600 fm0L[12,6] 0.486 0.152 0.197 0.381 0.484 0.590 0.781 1.003 420 fm0L[12,7] 0.505 0.152 0.214 0.401 0.509 0.616 0.777 1.006 480 fm0L[12,8] 0.496 0.152 0.200 0.392 0.508 0.607 0.760 1.000 600 fm0L[12,9] 0.498 0.155 0.214 0.391 0.500 0.605 0.794 1.004 420 fm0L[12,10] 0.507 0.153 0.209 0.401 0.513 0.618 0.785 1.009 240 fm0L[12,11] 0.520 0.153 0.227 0.415 0.524 0.633 0.801 1.004 600 fm0L[12,12] 0.496 0.155 0.202 0.378 0.497 0.613 0.780 1.002 600 fm0L[12,13] 0.511 0.146 0.236 0.410 0.512 0.616 0.776 1.001 600 fm0L[12,14] 0.498 0.152 0.227 0.392 0.496 0.599 0.813 1.007 270 fm0L[12,15] 0.503 0.151 0.218 0.394 0.503 0.607 0.787 1.001 600 fm0L[12,16] 0.504 0.151 0.240 0.388 0.501 0.618 0.782 1.000 600 fm0L[12,17] 0.492 0.149 0.199 0.394 0.495 0.589 0.805 0.999 600 fm0L[12,18] 0.493 0.158 0.199 0.373 0.508 0.609 0.788 1.017 120 fm0L[12,19] 0.502 0.147 0.236 0.394 0.502 0.612 0.807 1.001 600 fm0L[12,20] 0.506 0.150 0.223 0.402 0.507 0.608 0.783 1.007 400 fm0L[12,21] 0.510 0.151 0.206 0.404 0.514 0.617 0.776 1.001 600 fm0L[12,22] 0.506 0.155 0.206 0.395 0.514 0.622 0.792 1.011 330 fm0L[12,23] 0.494 0.148 0.214 0.388 0.489 0.603 0.785 1.007 390 fm0L[12,24] 0.500 0.154 0.215 0.391 0.510 0.608 0.793 1.002 510 fm0L[12,25] 0.501 0.154 0.197 0.393 0.504 0.609 0.798 1.004 450 fm0L[12,26] 0.503 0.150 0.222 0.397 0.501 0.611 0.790 1.001 600 fm0L[12,27] 0.504 0.149 0.215 0.398 0.510 0.616 0.764 1.005 400 fm0L[12,28] 0.492 0.146 0.219 0.388 0.494 0.591 0.781 1.007 250 fm0L[12,29] 0.497 0.145 0.218 0.400 0.498 0.593 0.771 1.005 470 fm0L[12,30] 0.507 0.153 0.219 0.396 0.512 0.615 0.797 0.999 600 fm0L[12,31] 0.493 0.151 0.218 0.376 0.489 0.605 0.774 1.009 520 fm0L[12,32] 0.627 0.132 0.344 0.536 0.640 0.718 0.845 1.014 200 fm0L[12,33] 0.499 0.153 0.210 0.391 0.500 0.614 0.777 1.000 600 fm0L[12,34] 0.498 0.156 0.196 0.393 0.496 0.610 0.791 1.002 600 fm0L[12,35] 0.517 0.124 0.265 0.432 0.520 0.603 0.745 1.016 190 fm0L[12,36] 0.506 0.150 0.229 0.399 0.500 0.618 0.792 1.004 390 fm0L[12,37] 0.499 0.155 0.215 0.386 0.493 0.614 0.802 1.001 600 fm0L[12,38] 0.496 0.151 0.216 0.386 0.499 0.605 0.766 0.999 600 fm0L[13,1] 0.501 0.150 0.220 0.391 0.499 0.611 0.784 1.002 600 fm0L[13,2] 0.502 0.156 0.212 0.394 0.498 0.615 0.799 1.001 600 fm0L[13,3] 0.498 0.157 0.195 0.394 0.505 0.614 0.791 1.001 600 fm0L[13,4] 0.504 0.156 0.215 0.386 0.505 0.616 0.790 0.999 600 fm0L[13,5] 0.542 0.145 0.260 0.438 0.548 0.642 0.810 1.001 600 fm0L[13,6] 0.500 0.149 0.220 0.401 0.497 0.612 0.796 1.006 600 fm0L[13,7] 0.490 0.150 0.206 0.383 0.489 0.590 0.788 1.003 430 fm0L[13,8] 0.511 0.155 0.197 0.403 0.507 0.625 0.795 1.003 600 fm0L[13,9] 0.493 0.146 0.216 0.394 0.496 0.600 0.768 1.003 590 fm0L[13,10] 0.501 0.141 0.227 0.399 0.502 0.599 0.780 0.999 600 fm0L[13,11] 0.493 0.143 0.224 0.390 0.491 0.600 0.780 1.005 420 fm0L[13,12] 0.493 0.151 0.218 0.373 0.495 0.599 0.780 1.006 450 fm0L[13,13] 0.640 0.124 0.375 0.558 0.647 0.731 0.860 1.009 600 fm0L[13,14] 0.517 0.158 0.221 0.411 0.515 0.639 0.793 0.999 600 fm0L[13,15] 0.497 0.151 0.208 0.388 0.499 0.614 0.770 1.000 600 fm0L[13,16] 0.498 0.150 0.208 0.396 0.496 0.601 0.781 1.000 600 fm0L[13,17] 0.509 0.148 0.224 0.407 0.506 0.619 0.774 0.999 600 fm0L[13,18] 0.496 0.146 0.219 0.395 0.499 0.607 0.782 1.000 600 fm0L[13,19] 0.508 0.146 0.224 0.405 0.506 0.613 0.800 1.012 190 fm0L[13,20] 0.500 0.151 0.207 0.392 0.488 0.610 0.797 1.000 600 fm0L[13,21] 0.504 0.146 0.215 0.399 0.505 0.607 0.791 1.001 600 fm0L[13,22] 0.498 0.152 0.202 0.384 0.512 0.609 0.779 1.000 600 fm0L[13,23] 0.505 0.160 0.191 0.383 0.505 0.627 0.789 1.005 420 fm0L[13,24] 0.493 0.148 0.221 0.376 0.503 0.601 0.775 1.006 600 fm0L[13,25] 0.512 0.150 0.235 0.407 0.508 0.617 0.804 1.002 500 fm0L[13,26] 0.492 0.152 0.184 0.392 0.484 0.595 0.779 1.008 400 fm0L[13,27] 0.493 0.147 0.198 0.387 0.498 0.592 0.763 1.011 300 fm0L[13,28] 0.492 0.155 0.207 0.379 0.495 0.604 0.782 1.002 600 fm0L[13,29] 0.499 0.149 0.217 0.399 0.498 0.601 0.781 1.004 600 fm0L[13,30] 0.490 0.149 0.193 0.385 0.490 0.603 0.763 1.000 600 fm0L[13,31] 0.489 0.147 0.226 0.380 0.487 0.592 0.768 1.000 600 fm0L[13,32] 0.506 0.151 0.216 0.399 0.506 0.610 0.788 1.014 180 fm0L[13,33] 0.503 0.149 0.219 0.394 0.513 0.616 0.769 1.012 170 fm0L[13,34] 0.498 0.149 0.232 0.397 0.491 0.601 0.795 1.003 420 fm0L[13,35] 0.545 0.136 0.272 0.458 0.544 0.640 0.788 1.005 440 fm0L[13,36] 0.507 0.145 0.214 0.403 0.509 0.618 0.771 0.999 600 fm0L[13,37] 0.507 0.144 0.230 0.408 0.504 0.613 0.776 1.029 130 fm0L[13,38] 0.502 0.148 0.221 0.392 0.504 0.609 0.795 1.002 600 fm0SF[1,1] 0.577 0.141 0.297 0.479 0.585 0.683 0.821 1.015 130 fm0SF[1,2] 0.500 0.151 0.205 0.399 0.497 0.607 0.782 1.006 470 fm0SF[1,3] 0.494 0.152 0.206 0.392 0.495 0.591 0.792 1.001 600 fm0SF[1,4] 0.504 0.151 0.224 0.397 0.500 0.616 0.795 0.999 600 fm0SF[1,5] 0.507 0.151 0.214 0.404 0.511 0.611 0.785 1.009 290 fm0SF[1,6] 0.497 0.145 0.229 0.392 0.498 0.590 0.776 1.009 250 fm0SF[1,7] 0.507 0.152 0.207 0.397 0.509 0.608 0.817 1.002 590 fm0SF[1,8] 0.499 0.159 0.195 0.384 0.504 0.612 0.795 1.000 600 fm0SF[1,9] 0.485 0.153 0.183 0.379 0.487 0.592 0.765 0.999 600 fm0SF[1,10] 0.500 0.146 0.224 0.393 0.496 0.604 0.770 1.001 600 fm0SF[1,11] 0.498 0.154 0.194 0.397 0.491 0.605 0.789 1.002 600 fm0SF[1,12] 0.500 0.147 0.220 0.394 0.492 0.598 0.800 1.002 600 fm0SF[1,13] 0.491 0.155 0.192 0.383 0.485 0.603 0.778 1.002 600 fm0SF[1,14] 0.508 0.145 0.244 0.398 0.500 0.611 0.771 0.999 600 fm0SF[1,15] 0.494 0.149 0.198 0.393 0.489 0.589 0.799 1.011 290 fm0SF[1,16] 0.506 0.150 0.220 0.395 0.509 0.614 0.799 1.001 600 fm0SF[1,17] 0.505 0.151 0.204 0.403 0.502 0.607 0.803 0.999 600 fm0SF[1,18] 0.491 0.148 0.217 0.385 0.495 0.588 0.759 1.000 600 fm0SF[1,19] 0.499 0.150 0.214 0.391 0.497 0.608 0.770 1.000 600 fm0SF[1,20] 0.504 0.156 0.199 0.396 0.510 0.616 0.788 1.011 360 fm0SF[1,21] 0.496 0.157 0.202 0.377 0.501 0.608 0.775 1.007 350 fm0SF[1,22] 0.500 0.147 0.217 0.393 0.500 0.605 0.772 0.999 600 fm0SF[1,23] 0.490 0.146 0.219 0.381 0.485 0.590 0.777 1.001 600 fm0SF[1,24] 0.493 0.150 0.195 0.381 0.500 0.601 0.779 1.002 600 fm0SF[1,25] 0.504 0.154 0.220 0.393 0.497 0.621 0.793 1.010 300 fm0SF[1,26] 0.499 0.146 0.226 0.402 0.494 0.600 0.773 1.002 600 fm0SF[1,27] 0.485 0.150 0.207 0.377 0.483 0.589 0.770 0.999 600 fm0SF[1,28] 0.511 0.160 0.210 0.392 0.511 0.623 0.830 1.004 600 fm0SF[1,29] 0.503 0.148 0.227 0.402 0.499 0.610 0.789 1.002 600 fm0SF[1,30] 0.507 0.151 0.227 0.400 0.505 0.608 0.811 1.008 290 fm0SF[1,31] 0.499 0.149 0.230 0.394 0.489 0.612 0.778 1.003 600 fm0SF[1,32] 0.491 0.151 0.207 0.372 0.491 0.603 0.765 1.001 600 fm0SF[1,33] 0.504 0.153 0.217 0.391 0.508 0.606 0.782 0.999 600 fm0SF[1,34] 0.491 0.154 0.215 0.377 0.486 0.604 0.775 1.010 190 fm0SF[1,35] 0.497 0.155 0.210 0.381 0.492 0.603 0.791 1.007 230 fm0SF[1,36] 0.730 0.050 0.629 0.698 0.733 0.763 0.822 1.034 130 fm0SF[1,37] 0.492 0.149 0.211 0.385 0.492 0.592 0.792 1.001 600 fm0SF[1,38] 0.497 0.146 0.207 0.398 0.503 0.607 0.776 1.007 560 fm0SF[2,1] 0.640 0.124 0.379 0.565 0.645 0.731 0.863 1.008 390 fm0SF[2,2] 0.500 0.154 0.216 0.383 0.491 0.618 0.779 1.005 420 fm0SF[2,3] 0.501 0.158 0.210 0.392 0.501 0.620 0.808 1.008 220 fm0SF[2,4] 0.497 0.156 0.206 0.383 0.494 0.606 0.786 1.000 600 fm0SF[2,5] 0.505 0.159 0.212 0.381 0.515 0.616 0.798 0.999 600 fm0SF[2,6] 0.502 0.155 0.201 0.396 0.503 0.612 0.784 0.999 600 fm0SF[2,7] 0.499 0.149 0.206 0.395 0.495 0.608 0.792 1.001 600 fm0SF[2,8] 0.501 0.153 0.219 0.389 0.498 0.612 0.791 1.003 600 fm0SF[2,9] 0.496 0.153 0.187 0.392 0.493 0.603 0.785 0.999 600 fm0SF[2,10] 0.506 0.149 0.225 0.399 0.503 0.614 0.784 1.001 600 fm0SF[2,11] 0.501 0.150 0.225 0.396 0.501 0.600 0.790 1.005 310 fm0SF[2,12] 0.494 0.155 0.203 0.382 0.495 0.601 0.796 1.003 600 fm0SF[2,13] 0.501 0.151 0.223 0.386 0.501 0.614 0.789 1.008 320 fm0SF[2,14] 0.504 0.143 0.221 0.401 0.502 0.610 0.776 1.009 230 fm0SF[2,15] 0.493 0.157 0.178 0.390 0.492 0.608 0.786 0.999 600 fm0SF[2,16] 0.502 0.148 0.230 0.397 0.506 0.601 0.781 1.001 600 fm0SF[2,17] 0.502 0.145 0.206 0.405 0.506 0.598 0.791 1.000 600 fm0SF[2,18] 0.491 0.152 0.204 0.380 0.487 0.596 0.772 1.000 600 fm0SF[2,19] 0.498 0.154 0.210 0.386 0.501 0.611 0.781 1.004 410 fm0SF[2,20] 0.508 0.152 0.222 0.402 0.510 0.616 0.779 1.003 600 fm0SF[2,21] 0.494 0.147 0.198 0.392 0.499 0.609 0.767 1.003 490 fm0SF[2,22] 0.503 0.152 0.200 0.402 0.501 0.604 0.805 1.012 370 fm0SF[2,23] 0.498 0.149 0.226 0.391 0.487 0.600 0.794 1.008 410 fm0SF[2,24] 0.497 0.155 0.198 0.391 0.507 0.611 0.764 1.008 470 fm0SF[2,25] 0.502 0.147 0.236 0.399 0.503 0.601 0.786 1.012 150 fm0SF[2,26] 0.503 0.149 0.222 0.394 0.507 0.610 0.790 1.001 600 fm0SF[2,27] 0.494 0.146 0.227 0.393 0.491 0.601 0.776 1.005 580 fm0SF[2,28] 0.492 0.149 0.219 0.383 0.491 0.594 0.778 0.999 600 fm0SF[2,29] 0.501 0.156 0.200 0.386 0.506 0.619 0.785 1.003 600 fm0SF[2,30] 0.490 0.145 0.226 0.381 0.481 0.586 0.760 0.999 600 fm0SF[2,31] 0.508 0.150 0.209 0.399 0.510 0.613 0.780 1.000 600 fm0SF[2,32] 0.502 0.143 0.243 0.411 0.496 0.596 0.796 1.005 300 fm0SF[2,33] 0.497 0.154 0.199 0.393 0.497 0.601 0.784 1.013 210 fm0SF[2,34] 0.499 0.144 0.241 0.394 0.495 0.603 0.786 1.003 600 fm0SF[2,35] 0.493 0.149 0.216 0.388 0.485 0.603 0.771 0.999 600 fm0SF[2,36] 0.492 0.126 0.248 0.406 0.492 0.578 0.745 1.000 600 fm0SF[2,37] 0.487 0.149 0.209 0.389 0.490 0.595 0.786 0.999 600 fm0SF[2,38] 0.501 0.146 0.218 0.395 0.495 0.615 0.768 1.007 600 fm0SF[3,1] 0.499 0.151 0.223 0.387 0.497 0.612 0.784 1.004 510 fm0SF[3,2] 0.497 0.148 0.212 0.393 0.495 0.603 0.781 1.008 300 fm0SF[3,3] 0.498 0.143 0.209 0.393 0.503 0.597 0.759 1.001 600 fm0SF[3,4] 0.484 0.152 0.197 0.377 0.483 0.583 0.798 1.000 600 fm0SF[3,5] 0.500 0.145 0.224 0.398 0.492 0.605 0.789 0.999 600 fm0SF[3,6] 0.502 0.159 0.221 0.384 0.494 0.620 0.791 0.999 600 fm0SF[3,7] 0.494 0.149 0.201 0.379 0.500 0.600 0.764 1.002 590 fm0SF[3,8] 0.501 0.149 0.219 0.392 0.503 0.609 0.772 1.004 600 fm0SF[3,9] 0.496 0.150 0.211 0.387 0.491 0.605 0.786 0.999 600 fm0SF[3,10] 0.499 0.149 0.221 0.390 0.500 0.609 0.783 1.001 600 fm0SF[3,11] 0.499 0.150 0.225 0.390 0.502 0.605 0.773 1.001 600 fm0SF[3,12] 0.495 0.150 0.198 0.388 0.499 0.598 0.773 1.014 140 fm0SF[3,13] 0.495 0.149 0.214 0.389 0.487 0.602 0.788 1.000 600 fm0SF[3,14] 0.506 0.157 0.194 0.398 0.513 0.620 0.785 1.001 600 fm0SF[3,15] 0.498 0.152 0.218 0.382 0.499 0.617 0.779 1.000 600 fm0SF[3,16] 0.501 0.153 0.218 0.386 0.501 0.612 0.782 0.999 600 fm0SF[3,17] 0.501 0.152 0.206 0.400 0.499 0.609 0.784 1.002 600 fm0SF[3,18] 0.510 0.157 0.233 0.399 0.504 0.617 0.821 1.002 600 fm0SF[3,19] 0.492 0.143 0.227 0.393 0.489 0.592 0.784 1.000 600 fm0SF[3,20] 0.499 0.150 0.221 0.386 0.502 0.596 0.792 1.009 220 fm0SF[3,21] 0.501 0.144 0.231 0.395 0.500 0.596 0.786 1.012 270 fm0SF[3,22] 0.491 0.146 0.208 0.392 0.494 0.593 0.779 1.004 380 fm0SF[3,23] 0.498 0.151 0.223 0.386 0.506 0.605 0.791 1.003 600 fm0SF[3,24] 0.502 0.149 0.220 0.391 0.501 0.611 0.779 1.000 600 fm0SF[3,25] 0.503 0.148 0.210 0.397 0.504 0.610 0.784 1.003 410 fm0SF[3,26] 0.493 0.155 0.186 0.384 0.497 0.597 0.805 0.999 600 fm0SF[3,27] 0.500 0.149 0.217 0.401 0.498 0.611 0.784 1.003 600 fm0SF[3,28] 0.497 0.149 0.227 0.381 0.495 0.610 0.776 0.999 600 fm0SF[3,29] 0.504 0.155 0.208 0.393 0.508 0.615 0.786 1.002 600 fm0SF[3,30] 0.504 0.150 0.228 0.399 0.501 0.614 0.797 1.018 240 fm0SF[3,31] 0.503 0.150 0.221 0.392 0.499 0.618 0.772 1.000 600 fm0SF[3,32] 0.499 0.148 0.199 0.391 0.508 0.604 0.785 1.015 200 fm0SF[3,33] 0.502 0.143 0.224 0.397 0.507 0.606 0.771 1.002 600 fm0SF[3,34] 0.501 0.152 0.220 0.391 0.495 0.609 0.791 1.003 600 fm0SF[3,35] 0.496 0.150 0.206 0.387 0.503 0.602 0.786 0.999 600 fm0SF[3,36] 0.553 0.087 0.374 0.496 0.555 0.610 0.715 1.062 53 fm0SF[3,37] 0.503 0.151 0.215 0.402 0.509 0.609 0.796 1.007 240 fm0SF[3,38] 0.492 0.152 0.211 0.388 0.490 0.599 0.789 1.000 600 fm0SF[4,1] 0.503 0.148 0.205 0.398 0.506 0.608 0.780 1.012 310 fm0SF[4,2] 0.493 0.149 0.210 0.383 0.496 0.598 0.771 1.002 600 fm0SF[4,3] 0.502 0.148 0.233 0.391 0.509 0.601 0.790 1.000 600 fm0SF[4,4] 0.486 0.156 0.199 0.373 0.477 0.599 0.804 1.000 600 fm0SF[4,5] 0.487 0.154 0.193 0.372 0.495 0.593 0.769 1.001 600 fm0SF[4,6] 0.519 0.146 0.242 0.415 0.518 0.624 0.811 1.001 600 fm0SF[4,7] 0.500 0.155 0.210 0.393 0.501 0.605 0.805 1.002 600 fm0SF[4,8] 0.497 0.147 0.219 0.399 0.500 0.599 0.782 1.005 520 fm0SF[4,9] 0.509 0.155 0.210 0.403 0.504 0.621 0.798 1.002 600 fm0SF[4,10] 0.505 0.152 0.223 0.393 0.507 0.617 0.796 0.999 600 fm0SF[4,11] 0.494 0.144 0.207 0.392 0.493 0.589 0.775 1.004 600 fm0SF[4,12] 0.481 0.151 0.183 0.374 0.483 0.590 0.773 1.009 600 fm0SF[4,13] 0.497 0.148 0.208 0.389 0.489 0.606 0.780 1.005 600 fm0SF[4,14] 0.505 0.147 0.207 0.404 0.502 0.608 0.788 1.000 600 fm0SF[4,15] 0.502 0.148 0.219 0.392 0.503 0.612 0.792 1.004 600 fm0SF[4,16] 0.490 0.155 0.212 0.380 0.483 0.598 0.812 1.004 600 fm0SF[4,17] 0.513 0.151 0.231 0.405 0.516 0.627 0.797 1.002 600 fm0SF[4,18] 0.498 0.146 0.228 0.392 0.510 0.601 0.764 1.001 600 fm0SF[4,19] 0.513 0.154 0.208 0.397 0.521 0.627 0.785 1.007 380 fm0SF[4,20] 0.510 0.154 0.219 0.401 0.506 0.626 0.799 0.999 600 fm0SF[4,21] 0.501 0.150 0.208 0.398 0.502 0.606 0.794 1.001 600 fm0SF[4,22] 0.499 0.153 0.201 0.397 0.500 0.598 0.794 1.000 600 fm0SF[4,23] 0.500 0.149 0.211 0.396 0.501 0.600 0.795 0.999 600 fm0SF[4,24] 0.492 0.150 0.208 0.382 0.490 0.597 0.788 0.999 600 fm0SF[4,25] 0.500 0.145 0.224 0.397 0.506 0.598 0.774 1.004 600 fm0SF[4,26] 0.501 0.151 0.211 0.395 0.504 0.604 0.801 1.005 600 fm0SF[4,27] 0.504 0.153 0.210 0.389 0.501 0.613 0.796 1.001 600 fm0SF[4,28] 0.505 0.150 0.215 0.402 0.504 0.615 0.780 1.000 600 fm0SF[4,29] 0.493 0.151 0.204 0.392 0.498 0.598 0.782 1.006 280 fm0SF[4,30] 0.489 0.151 0.210 0.375 0.486 0.598 0.779 1.003 440 fm0SF[4,31] 0.502 0.148 0.225 0.391 0.505 0.610 0.774 1.003 460 fm0SF[4,32] 0.499 0.159 0.211 0.374 0.498 0.616 0.812 1.003 600 fm0SF[4,33] 0.499 0.149 0.226 0.391 0.497 0.607 0.789 1.000 600 fm0SF[4,34] 0.497 0.145 0.210 0.395 0.496 0.599 0.773 1.003 600 fm0SF[4,35] 0.496 0.159 0.202 0.377 0.498 0.611 0.795 1.003 550 fm0SF[4,36] 0.554 0.115 0.336 0.475 0.558 0.636 0.776 1.004 400 fm0SF[4,37] 0.506 0.154 0.208 0.403 0.504 0.612 0.784 1.003 600 fm0SF[4,38] 0.504 0.151 0.213 0.402 0.504 0.606 0.787 1.002 600 fm0SF[5,1] 0.512 0.144 0.225 0.414 0.519 0.608 0.795 1.002 600 fm0SF[5,2] 0.497 0.145 0.227 0.393 0.501 0.603 0.768 1.003 600 fm0SF[5,3] 0.494 0.149 0.221 0.385 0.486 0.599 0.775 1.012 160 fm0SF[5,4] 0.499 0.158 0.203 0.379 0.507 0.619 0.794 1.006 470 fm0SF[5,5] 0.498 0.151 0.214 0.384 0.493 0.608 0.794 1.003 600 fm0SF[5,6] 0.520 0.143 0.244 0.418 0.521 0.630 0.783 1.003 600 fm0SF[5,7] 0.509 0.168 0.185 0.383 0.513 0.633 0.816 1.008 600 fm0SF[5,8] 0.493 0.159 0.197 0.376 0.493 0.604 0.792 1.001 600 fm0SF[5,9] 0.495 0.152 0.190 0.391 0.503 0.602 0.769 1.001 600 fm0SF[5,10] 0.498 0.146 0.203 0.395 0.501 0.606 0.752 1.000 600 fm0SF[5,11] 0.512 0.153 0.231 0.401 0.507 0.625 0.800 1.007 460 fm0SF[5,12] 0.489 0.152 0.218 0.376 0.489 0.601 0.771 1.001 600 fm0SF[5,13] 0.493 0.151 0.222 0.385 0.492 0.595 0.792 1.009 320 fm0SF[5,14] 0.491 0.152 0.204 0.389 0.491 0.596 0.793 1.003 600 fm0SF[5,15] 0.490 0.151 0.212 0.387 0.488 0.601 0.771 0.999 600 fm0SF[5,16] 0.498 0.149 0.218 0.392 0.500 0.608 0.769 1.001 600 fm0SF[5,17] 0.498 0.155 0.213 0.378 0.497 0.608 0.793 1.003 600 fm0SF[5,18] 0.502 0.158 0.205 0.391 0.506 0.618 0.794 0.999 600 fm0SF[5,19] 0.503 0.150 0.226 0.401 0.498 0.609 0.796 1.000 600 fm0SF[5,20] 0.517 0.148 0.230 0.406 0.514 0.627 0.800 1.005 440 fm0SF[5,21] 0.505 0.154 0.226 0.391 0.498 0.609 0.817 1.003 480 fm0SF[5,22] 0.497 0.148 0.213 0.393 0.499 0.598 0.781 1.002 600 fm0SF[5,23] 0.503 0.160 0.183 0.386 0.503 0.621 0.794 1.001 600 fm0SF[5,24] 0.496 0.154 0.186 0.389 0.497 0.611 0.766 1.000 600 fm0SF[5,25] 0.510 0.147 0.228 0.407 0.511 0.610 0.792 1.003 500 fm0SF[5,26] 0.494 0.144 0.222 0.393 0.492 0.597 0.769 1.009 190 fm0SF[5,27] 0.502 0.152 0.214 0.390 0.509 0.617 0.780 1.001 600 fm0SF[5,28] 0.505 0.155 0.203 0.389 0.507 0.616 0.784 1.002 600 fm0SF[5,29] 0.504 0.154 0.210 0.396 0.510 0.617 0.790 1.000 600 fm0SF[5,30] 0.492 0.153 0.215 0.375 0.485 0.598 0.802 1.004 600 fm0SF[5,31] 0.495 0.152 0.205 0.383 0.497 0.597 0.786 0.999 600 fm0SF[5,32] 0.511 0.154 0.205 0.404 0.504 0.616 0.797 1.002 600 fm0SF[5,33] 0.503 0.150 0.218 0.398 0.498 0.621 0.770 1.004 350 fm0SF[5,34] 0.497 0.148 0.188 0.405 0.495 0.594 0.773 1.007 600 fm0SF[5,35] 0.507 0.149 0.221 0.400 0.513 0.616 0.791 1.002 600 fm0SF[5,36] 0.452 0.108 0.237 0.378 0.452 0.530 0.649 1.018 110 fm0SF[5,37] 0.497 0.146 0.221 0.391 0.497 0.599 0.771 0.999 600 fm0SF[5,38] 0.501 0.150 0.225 0.403 0.491 0.612 0.801 1.004 600 fm0SF[6,1] 0.487 0.149 0.200 0.379 0.487 0.596 0.764 1.000 600 fm0SF[6,2] 0.506 0.153 0.213 0.397 0.499 0.623 0.791 1.016 200 fm0SF[6,3] 0.503 0.152 0.212 0.397 0.499 0.613 0.801 1.000 600 fm0SF[6,4] 0.592 0.072 0.450 0.542 0.596 0.641 0.728 1.012 200 fm0SF[6,5] 0.501 0.152 0.218 0.387 0.498 0.608 0.813 1.004 600 fm0SF[6,6] 0.502 0.154 0.226 0.384 0.502 0.614 0.799 1.001 600 fm0SF[6,7] 0.502 0.152 0.218 0.387 0.495 0.615 0.779 1.003 530 fm0SF[6,8] 0.500 0.150 0.214 0.388 0.503 0.608 0.798 1.001 600 fm0SF[6,9] 0.495 0.155 0.214 0.386 0.490 0.608 0.782 1.000 600 fm0SF[6,10] 0.499 0.149 0.223 0.384 0.495 0.610 0.792 1.001 600 fm0SF[6,11] 0.503 0.153 0.204 0.393 0.510 0.613 0.780 1.006 290 fm0SF[6,12] 0.507 0.162 0.203 0.393 0.510 0.621 0.814 1.000 600 fm0SF[6,13] 0.502 0.151 0.197 0.396 0.497 0.615 0.780 1.011 180 fm0SF[6,14] 0.507 0.151 0.223 0.394 0.509 0.619 0.781 1.007 390 fm0SF[6,15] 0.504 0.153 0.210 0.395 0.510 0.612 0.781 1.000 600 fm0SF[6,16] 0.509 0.150 0.211 0.404 0.511 0.616 0.803 1.005 600 fm0SF[6,17] 0.498 0.151 0.232 0.377 0.505 0.604 0.791 1.004 600 fm0SF[6,18] 0.491 0.147 0.215 0.382 0.495 0.592 0.775 1.001 600 fm0SF[6,19] 0.503 0.154 0.227 0.379 0.504 0.617 0.800 0.999 600 fm0SF[6,20] 0.500 0.152 0.220 0.393 0.498 0.603 0.799 0.999 600 fm0SF[6,21] 0.507 0.153 0.210 0.403 0.508 0.615 0.795 1.005 500 fm0SF[6,22] 0.496 0.155 0.201 0.395 0.487 0.601 0.798 1.008 590 fm0SF[6,23] 0.506 0.161 0.193 0.391 0.508 0.622 0.791 1.010 600 fm0SF[6,24] 0.510 0.148 0.220 0.407 0.510 0.616 0.784 1.003 540 fm0SF[6,25] 0.501 0.147 0.208 0.401 0.503 0.609 0.779 1.004 440 fm0SF[6,26] 0.504 0.150 0.212 0.395 0.509 0.611 0.781 1.009 600 fm0SF[6,27] 0.503 0.147 0.237 0.399 0.507 0.613 0.776 1.003 430 fm0SF[6,28] 0.494 0.147 0.198 0.395 0.507 0.599 0.772 1.002 600 fm0SF[6,29] 0.500 0.149 0.217 0.391 0.501 0.602 0.798 1.004 600 fm0SF[6,30] 0.496 0.149 0.214 0.394 0.487 0.601 0.787 0.999 600 fm0SF[6,31] 0.506 0.148 0.218 0.402 0.504 0.611 0.788 1.005 330 fm0SF[6,32] 0.525 0.151 0.227 0.426 0.522 0.632 0.808 0.999 600 fm0SF[6,33] 0.494 0.152 0.203 0.380 0.494 0.597 0.792 1.000 600 fm0SF[6,34] 0.497 0.148 0.232 0.388 0.496 0.599 0.786 1.003 600 fm0SF[6,35] 0.504 0.157 0.212 0.392 0.500 0.622 0.808 1.005 390 fm0SF[6,36] 0.510 0.141 0.253 0.404 0.506 0.610 0.786 1.003 600 fm0SF[6,37] 0.494 0.152 0.206 0.387 0.495 0.601 0.769 1.001 600 fm0SF[6,38] 0.495 0.149 0.217 0.389 0.498 0.603 0.760 1.002 600 fm0SF[7,1] 0.502 0.150 0.210 0.400 0.503 0.614 0.779 0.999 600 fm0SF[7,2] 0.505 0.147 0.228 0.405 0.499 0.610 0.787 1.006 600 fm0SF[7,3] 0.499 0.154 0.204 0.389 0.493 0.611 0.794 0.999 600 fm0SF[7,4] 0.495 0.153 0.189 0.389 0.497 0.607 0.785 1.019 270 fm0SF[7,5] 0.505 0.152 0.193 0.391 0.507 0.611 0.789 1.002 600 fm0SF[7,6] 0.500 0.156 0.211 0.389 0.502 0.601 0.825 1.000 600 fm0SF[7,7] 0.510 0.150 0.215 0.404 0.512 0.620 0.782 1.006 300 fm0SF[7,8] 0.503 0.154 0.210 0.397 0.500 0.616 0.794 1.020 600 fm0SF[7,9] 0.502 0.154 0.220 0.384 0.496 0.623 0.801 1.002 600 fm0SF[7,10] 0.507 0.153 0.211 0.394 0.521 0.620 0.779 1.002 510 fm0SF[7,11] 0.497 0.151 0.215 0.386 0.497 0.603 0.786 1.009 240 fm0SF[7,12] 0.499 0.152 0.220 0.397 0.509 0.603 0.782 1.004 470 fm0SF[7,13] 0.503 0.153 0.204 0.389 0.503 0.613 0.788 1.007 460 fm0SF[7,14] 0.501 0.148 0.218 0.401 0.500 0.602 0.781 1.007 600 fm0SF[7,15] 0.490 0.147 0.216 0.376 0.487 0.598 0.798 1.006 300 fm0SF[7,16] 0.500 0.150 0.221 0.393 0.498 0.606 0.792 1.000 600 fm0SF[7,17] 0.487 0.147 0.209 0.389 0.481 0.588 0.779 1.005 390 fm0SF[7,18] 0.506 0.145 0.209 0.406 0.506 0.611 0.785 0.999 600 fm0SF[7,19] 0.506 0.151 0.214 0.399 0.511 0.621 0.791 1.005 600 fm0SF[7,20] 0.496 0.157 0.226 0.379 0.493 0.611 0.818 1.003 600 fm0SF[7,21] 0.515 0.148 0.228 0.407 0.510 0.614 0.798 1.001 600 fm0SF[7,22] 0.495 0.156 0.201 0.384 0.501 0.606 0.789 1.000 600 fm0SF[7,23] 0.501 0.149 0.217 0.391 0.504 0.606 0.780 0.999 600 fm0SF[7,24] 0.511 0.143 0.258 0.412 0.509 0.613 0.771 0.999 600 fm0SF[7,25] 0.487 0.149 0.206 0.377 0.483 0.595 0.778 1.010 250 fm0SF[7,26] 0.491 0.157 0.205 0.374 0.494 0.611 0.787 1.008 310 fm0SF[7,27] 0.492 0.151 0.203 0.385 0.495 0.590 0.786 1.004 600 fm0SF[7,28] 0.494 0.155 0.190 0.382 0.501 0.608 0.778 1.003 600 fm0SF[7,29] 0.516 0.150 0.246 0.407 0.517 0.616 0.821 0.999 600 fm0SF[7,30] 0.505 0.153 0.233 0.387 0.494 0.615 0.801 0.999 600 fm0SF[7,31] 0.511 0.154 0.206 0.403 0.511 0.627 0.805 1.019 120 fm0SF[7,32] 0.539 0.141 0.250 0.449 0.542 0.634 0.806 1.002 600 fm0SF[7,33] 0.505 0.147 0.218 0.399 0.506 0.612 0.783 1.006 600 fm0SF[7,34] 0.505 0.152 0.225 0.389 0.500 0.620 0.790 1.002 550 fm0SF[7,35] 0.504 0.148 0.232 0.395 0.501 0.610 0.776 1.006 600 fm0SF[7,36] 0.504 0.155 0.193 0.404 0.506 0.610 0.789 0.999 600 fm0SF[7,37] 0.505 0.150 0.211 0.400 0.498 0.606 0.792 1.002 600 fm0SF[7,38] 0.507 0.153 0.229 0.397 0.511 0.620 0.793 1.002 600 fm0SF[8,1] 0.495 0.158 0.213 0.376 0.488 0.601 0.804 1.005 310 fm0SF[8,2] 0.503 0.150 0.212 0.389 0.507 0.614 0.796 1.011 240 fm0SF[8,3] 0.499 0.151 0.225 0.391 0.496 0.606 0.793 1.013 160 fm0SF[8,4] 0.381 0.113 0.169 0.299 0.375 0.461 0.595 1.001 600 fm0SF[8,5] 0.508 0.147 0.228 0.402 0.510 0.617 0.786 1.008 550 fm0SF[8,6] 0.512 0.152 0.210 0.406 0.525 0.619 0.785 1.012 230 fm0SF[8,7] 0.501 0.152 0.230 0.396 0.500 0.605 0.794 1.006 260 fm0SF[8,8] 0.487 0.152 0.196 0.379 0.485 0.586 0.797 1.000 600 fm0SF[8,9] 0.495 0.151 0.197 0.388 0.489 0.595 0.806 1.002 600 fm0SF[8,10] 0.501 0.153 0.212 0.389 0.492 0.617 0.776 1.001 600 fm0SF[8,11] 0.508 0.153 0.208 0.405 0.508 0.614 0.800 1.008 200 fm0SF[8,12] 0.508 0.152 0.217 0.400 0.512 0.619 0.802 1.000 600 fm0SF[8,13] 0.503 0.155 0.193 0.392 0.509 0.611 0.791 1.007 600 fm0SF[8,14] 0.494 0.156 0.199 0.385 0.494 0.607 0.798 1.007 280 fm0SF[8,15] 0.492 0.149 0.215 0.392 0.486 0.589 0.792 1.007 310 fm0SF[8,16] 0.499 0.148 0.236 0.394 0.502 0.608 0.775 1.005 390 fm0SF[8,17] 0.499 0.154 0.217 0.388 0.501 0.615 0.794 1.003 440 fm0SF[8,18] 0.500 0.147 0.218 0.401 0.502 0.605 0.780 1.002 600 fm0SF[8,19] 0.493 0.152 0.207 0.380 0.498 0.597 0.785 1.001 600 fm0SF[8,20] 0.503 0.154 0.208 0.395 0.507 0.616 0.789 1.016 150 fm0SF[8,21] 0.494 0.154 0.213 0.384 0.494 0.607 0.776 1.000 600 fm0SF[8,22] 0.504 0.149 0.223 0.393 0.501 0.616 0.797 1.009 320 fm0SF[8,23] 0.497 0.151 0.206 0.397 0.495 0.595 0.788 1.002 580 fm0SF[8,24] 0.508 0.144 0.251 0.396 0.505 0.609 0.782 1.006 570 fm0SF[8,25] 0.491 0.149 0.219 0.384 0.496 0.599 0.775 0.999 600 fm0SF[8,26] 0.498 0.146 0.208 0.394 0.504 0.602 0.777 1.000 600 fm0SF[8,27] 0.503 0.153 0.212 0.400 0.507 0.608 0.782 1.003 600 fm0SF[8,28] 0.495 0.150 0.201 0.397 0.502 0.600 0.764 1.000 600 fm0SF[8,29] 0.488 0.154 0.198 0.378 0.482 0.594 0.796 1.002 600 fm0SF[8,30] 0.489 0.152 0.205 0.384 0.489 0.595 0.771 1.004 380 fm0SF[8,31] 0.509 0.155 0.207 0.398 0.518 0.630 0.773 1.002 520 fm0SF[8,32] 0.521 0.149 0.237 0.416 0.522 0.634 0.789 1.005 430 fm0SF[8,33] 0.508 0.153 0.223 0.390 0.509 0.620 0.780 1.005 600 fm0SF[8,34] 0.505 0.150 0.216 0.399 0.504 0.615 0.794 1.002 560 fm0SF[8,35] 0.497 0.153 0.209 0.394 0.496 0.604 0.781 1.013 350 fm0SF[8,36] 0.516 0.154 0.227 0.400 0.521 0.630 0.804 1.001 600 fm0SF[8,37] 0.497 0.150 0.200 0.395 0.491 0.602 0.772 0.999 600 fm0SF[8,38] 0.495 0.151 0.214 0.385 0.495 0.600 0.777 1.010 330 fm0SF[9,1] 0.495 0.151 0.215 0.384 0.507 0.602 0.779 0.999 600 fm0SF[9,2] 0.496 0.147 0.228 0.395 0.484 0.602 0.776 0.999 600 fm0SF[9,3] 0.503 0.155 0.206 0.389 0.507 0.610 0.793 1.000 600 fm0SF[9,4] 0.494 0.151 0.219 0.388 0.496 0.605 0.778 1.017 310 fm0SF[9,5] 0.503 0.148 0.226 0.392 0.502 0.610 0.776 1.018 140 fm0SF[9,6] 0.509 0.155 0.225 0.398 0.508 0.619 0.815 0.999 600 fm0SF[9,7] 0.513 0.150 0.249 0.404 0.509 0.613 0.792 1.001 600 fm0SF[9,8] 0.494 0.156 0.215 0.373 0.488 0.607 0.779 1.026 90 fm0SF[9,9] 0.498 0.152 0.209 0.388 0.500 0.610 0.778 1.001 600 fm0SF[9,10] 0.502 0.153 0.200 0.398 0.513 0.607 0.789 1.003 600 fm0SF[9,11] 0.503 0.158 0.213 0.387 0.504 0.619 0.815 1.006 300 fm0SF[9,12] 0.509 0.142 0.234 0.403 0.512 0.605 0.774 1.009 600 fm0SF[9,13] 0.508 0.154 0.217 0.408 0.511 0.617 0.806 1.000 600 fm0SF[9,14] 0.510 0.149 0.241 0.399 0.512 0.608 0.790 1.011 170 fm0SF[9,15] 0.503 0.156 0.204 0.388 0.501 0.615 0.798 0.999 600 fm0SF[9,16] 0.504 0.155 0.220 0.386 0.499 0.614 0.792 1.004 600 fm0SF[9,17] 0.492 0.141 0.224 0.392 0.494 0.590 0.767 1.007 350 fm0SF[9,18] 0.510 0.151 0.223 0.406 0.509 0.617 0.790 0.999 600 fm0SF[9,19] 0.492 0.145 0.226 0.394 0.492 0.587 0.771 1.014 190 fm0SF[9,20] 0.497 0.154 0.197 0.393 0.503 0.611 0.787 0.999 600 fm0SF[9,21] 0.499 0.149 0.237 0.391 0.498 0.608 0.791 1.003 590 fm0SF[9,22] 0.489 0.148 0.228 0.387 0.479 0.593 0.788 1.000 600 fm0SF[9,23] 0.507 0.151 0.227 0.401 0.504 0.610 0.790 0.999 600 fm0SF[9,24] 0.490 0.156 0.198 0.371 0.492 0.604 0.777 1.002 600 fm0SF[9,25] 0.498 0.150 0.225 0.388 0.493 0.609 0.778 1.013 160 fm0SF[9,26] 0.495 0.150 0.216 0.384 0.495 0.596 0.779 1.009 310 fm0SF[9,27] 0.498 0.152 0.210 0.389 0.500 0.612 0.776 1.001 600 fm0SF[9,28] 0.504 0.152 0.209 0.391 0.507 0.616 0.787 1.009 250 fm0SF[9,29] 0.497 0.158 0.218 0.386 0.487 0.611 0.812 1.001 600 fm0SF[9,30] 0.492 0.159 0.195 0.369 0.497 0.606 0.768 1.002 600 fm0SF[9,31] 0.507 0.158 0.204 0.392 0.510 0.617 0.790 1.009 240 fm0SF[9,32] 0.537 0.133 0.272 0.451 0.539 0.629 0.786 1.006 320 fm0SF[9,33] 0.498 0.147 0.212 0.389 0.508 0.606 0.756 1.000 600 fm0SF[9,34] 0.499 0.155 0.192 0.383 0.498 0.604 0.811 0.999 600 fm0SF[9,35] 0.510 0.150 0.229 0.402 0.511 0.620 0.786 1.003 410 fm0SF[9,36] 0.499 0.154 0.179 0.394 0.500 0.605 0.794 1.005 490 fm0SF[9,37] 0.498 0.155 0.206 0.388 0.490 0.607 0.798 1.005 340 fm0SF[9,38] 0.504 0.148 0.222 0.395 0.512 0.616 0.779 1.001 600 fm0SF[10,1] 0.500 0.142 0.210 0.401 0.510 0.595 0.780 1.002 600 fm0SF[10,2] 0.500 0.149 0.219 0.398 0.489 0.603 0.810 1.000 600 fm0SF[10,3] 0.505 0.150 0.214 0.403 0.503 0.612 0.798 1.003 430 fm0SF[10,4] 0.496 0.144 0.203 0.395 0.497 0.596 0.769 1.003 600 fm0SF[10,5] 0.497 0.154 0.221 0.383 0.497 0.613 0.779 0.999 600 fm0SF[10,6] 0.495 0.151 0.205 0.385 0.491 0.598 0.775 1.000 600 fm0SF[10,7] 0.492 0.154 0.211 0.379 0.491 0.602 0.796 1.000 600 fm0SF[10,8] 0.512 0.153 0.220 0.402 0.507 0.630 0.794 1.003 490 fm0SF[10,9] 0.501 0.150 0.226 0.399 0.498 0.601 0.803 1.003 500 fm0SF[10,10] 0.494 0.155 0.204 0.386 0.486 0.604 0.780 1.004 500 fm0SF[10,11] 0.496 0.151 0.211 0.390 0.490 0.607 0.801 1.002 600 fm0SF[10,12] 0.502 0.149 0.222 0.400 0.496 0.598 0.798 1.000 600 fm0SF[10,13] 0.501 0.149 0.220 0.403 0.500 0.601 0.780 1.003 480 fm0SF[10,14] 0.504 0.146 0.218 0.403 0.502 0.606 0.811 1.000 600 fm0SF[10,15] 0.495 0.154 0.219 0.387 0.489 0.612 0.777 0.999 600 fm0SF[10,16] 0.498 0.143 0.225 0.399 0.492 0.602 0.778 1.006 250 fm0SF[10,17] 0.504 0.153 0.209 0.399 0.503 0.607 0.789 1.000 600 fm0SF[10,18] 0.505 0.154 0.216 0.388 0.505 0.619 0.799 1.004 600 fm0SF[10,19] 0.495 0.151 0.217 0.393 0.487 0.598 0.790 0.999 600 fm0SF[10,20] 0.491 0.153 0.196 0.386 0.497 0.596 0.783 0.999 600 fm0SF[10,21] 0.506 0.142 0.230 0.416 0.507 0.605 0.786 0.999 600 fm0SF[10,22] 0.501 0.150 0.199 0.395 0.511 0.610 0.778 1.004 600 fm0SF[10,23] 0.490 0.149 0.211 0.384 0.491 0.597 0.769 1.006 320 fm0SF[10,24] 0.503 0.145 0.238 0.397 0.500 0.614 0.774 0.999 600 fm0SF[10,25] 0.490 0.153 0.190 0.375 0.499 0.593 0.795 1.007 490 fm0SF[10,26] 0.494 0.151 0.220 0.378 0.491 0.597 0.783 1.006 540 fm0SF[10,27] 0.505 0.146 0.209 0.406 0.504 0.599 0.791 1.000 600 fm0SF[10,28] 0.494 0.149 0.207 0.390 0.492 0.595 0.793 1.000 600 fm0SF[10,29] 0.491 0.146 0.197 0.389 0.497 0.595 0.768 1.011 200 fm0SF[10,30] 0.497 0.148 0.230 0.392 0.488 0.605 0.779 1.008 430 fm0SF[10,31] 0.500 0.150 0.218 0.393 0.494 0.603 0.785 1.004 380 fm0SF[10,32] 0.507 0.153 0.214 0.402 0.511 0.615 0.797 1.002 600 fm0SF[10,33] 0.520 0.148 0.235 0.421 0.519 0.627 0.797 1.002 600 fm0SF[10,34] 0.501 0.149 0.202 0.393 0.500 0.608 0.774 1.005 390 fm0SF[10,35] 0.505 0.148 0.204 0.406 0.503 0.607 0.779 1.020 120 fm0SF[10,36] 0.513 0.151 0.233 0.404 0.511 0.625 0.813 1.016 140 fm0SF[10,37] 0.498 0.146 0.236 0.394 0.491 0.604 0.776 1.000 600 fm0SF[10,38] 0.488 0.151 0.198 0.388 0.492 0.592 0.777 1.001 600 fm0SF[11,1] 0.498 0.156 0.210 0.380 0.496 0.608 0.792 1.002 600 fm0SF[11,2] 0.497 0.145 0.208 0.397 0.498 0.601 0.756 1.005 600 fm0SF[11,3] 0.493 0.154 0.194 0.383 0.492 0.605 0.788 1.010 400 fm0SF[11,4] 0.586 0.092 0.398 0.523 0.584 0.651 0.758 1.000 600 fm0SF[11,5] 0.497 0.155 0.206 0.383 0.503 0.613 0.799 1.002 570 fm0SF[11,6] 0.505 0.143 0.231 0.408 0.516 0.608 0.759 1.002 560 fm0SF[11,7] 0.505 0.151 0.207 0.399 0.508 0.614 0.781 1.004 380 fm0SF[11,8] 0.516 0.150 0.220 0.408 0.519 0.617 0.811 1.014 260 fm0SF[11,9] 0.510 0.157 0.214 0.397 0.516 0.622 0.802 0.999 600 fm0SF[11,10] 0.495 0.147 0.224 0.394 0.496 0.597 0.774 1.006 270 fm0SF[11,11] 0.498 0.147 0.209 0.392 0.498 0.602 0.781 0.999 600 fm0SF[11,12] 0.506 0.152 0.203 0.397 0.507 0.619 0.795 1.001 600 fm0SF[11,13] 0.504 0.148 0.235 0.393 0.507 0.615 0.779 1.003 600 fm0SF[11,14] 0.501 0.146 0.229 0.393 0.495 0.597 0.773 1.004 600 fm0SF[11,15] 0.501 0.145 0.237 0.389 0.516 0.604 0.759 1.009 600 fm0SF[11,16] 0.505 0.154 0.210 0.399 0.508 0.614 0.796 0.999 600 fm0SF[11,17] 0.513 0.154 0.216 0.411 0.513 0.617 0.814 0.999 600 fm0SF[11,18] 0.500 0.161 0.195 0.379 0.495 0.621 0.795 1.002 600 fm0SF[11,19] 0.503 0.145 0.211 0.401 0.510 0.605 0.785 1.000 600 fm0SF[11,20] 0.488 0.141 0.217 0.384 0.494 0.592 0.760 1.003 480 fm0SF[11,21] 0.499 0.154 0.203 0.395 0.497 0.604 0.797 0.999 600 fm0SF[11,22] 0.496 0.153 0.227 0.388 0.488 0.597 0.801 1.003 600 fm0SF[11,23] 0.498 0.150 0.206 0.395 0.498 0.602 0.786 1.000 600 fm0SF[11,24] 0.502 0.150 0.215 0.395 0.504 0.613 0.790 1.000 600 fm0SF[11,25] 0.495 0.158 0.189 0.383 0.495 0.616 0.805 1.000 600 fm0SF[11,26] 0.505 0.152 0.223 0.402 0.502 0.615 0.818 1.008 250 fm0SF[11,27] 0.502 0.148 0.198 0.397 0.499 0.613 0.789 0.999 600 fm0SF[11,28] 0.498 0.150 0.217 0.386 0.502 0.603 0.793 1.004 430 fm0SF[11,29] 0.501 0.153 0.222 0.384 0.500 0.611 0.793 1.017 330 fm0SF[11,30] 0.495 0.156 0.203 0.386 0.487 0.608 0.772 1.001 600 fm0SF[11,31] 0.506 0.162 0.223 0.386 0.507 0.616 0.821 1.001 600 fm0SF[11,32] 0.504 0.152 0.203 0.404 0.508 0.608 0.789 1.001 600 fm0SF[11,33] 0.492 0.146 0.227 0.392 0.484 0.593 0.794 1.010 190 fm0SF[11,34] 0.496 0.149 0.225 0.393 0.497 0.603 0.776 1.003 600 fm0SF[11,35] 0.509 0.149 0.216 0.412 0.506 0.613 0.804 0.999 600 fm0SF[11,36] 0.498 0.160 0.195 0.378 0.503 0.614 0.787 1.008 260 fm0SF[11,37] 0.488 0.150 0.216 0.375 0.491 0.595 0.788 1.004 370 fm0SF[11,38] 0.502 0.147 0.231 0.402 0.506 0.594 0.797 0.999 600 fm0SF[12,1] 0.504 0.149 0.229 0.400 0.504 0.598 0.807 1.003 460 fm0SF[12,2] 0.495 0.155 0.219 0.377 0.499 0.608 0.791 0.999 600 fm0SF[12,3] 0.506 0.146 0.230 0.399 0.511 0.611 0.785 1.002 600 fm0SF[12,4] 0.485 0.096 0.300 0.421 0.487 0.552 0.665 1.004 450 fm0SF[12,5] 0.510 0.142 0.236 0.410 0.503 0.603 0.789 1.006 390 fm0SF[12,6] 0.519 0.154 0.221 0.407 0.518 0.626 0.813 1.004 600 fm0SF[12,7] 0.501 0.161 0.167 0.387 0.494 0.622 0.800 1.006 580 fm0SF[12,8] 0.499 0.150 0.217 0.389 0.493 0.606 0.783 1.005 600 fm0SF[12,9] 0.503 0.150 0.235 0.397 0.506 0.603 0.796 1.004 550 fm0SF[12,10] 0.501 0.148 0.238 0.394 0.504 0.610 0.793 1.001 600 fm0SF[12,11] 0.505 0.151 0.206 0.398 0.499 0.610 0.803 1.011 310 fm0SF[12,12] 0.504 0.150 0.221 0.400 0.506 0.608 0.810 0.999 600 fm0SF[12,13] 0.492 0.144 0.227 0.389 0.498 0.593 0.766 1.003 600 fm0SF[12,14] 0.498 0.156 0.185 0.396 0.495 0.603 0.791 0.999 600 fm0SF[12,15] 0.498 0.152 0.216 0.382 0.495 0.614 0.787 1.005 460 fm0SF[12,16] 0.496 0.149 0.217 0.385 0.507 0.604 0.776 1.001 600 fm0SF[12,17] 0.508 0.158 0.188 0.392 0.506 0.629 0.810 1.004 440 fm0SF[12,18] 0.502 0.147 0.203 0.393 0.506 0.603 0.788 0.999 600 fm0SF[12,19] 0.504 0.149 0.214 0.400 0.508 0.606 0.785 1.002 600 fm0SF[12,20] 0.498 0.146 0.231 0.387 0.493 0.608 0.775 1.002 540 fm0SF[12,21] 0.493 0.146 0.212 0.392 0.493 0.598 0.776 0.999 600 fm0SF[12,22] 0.495 0.154 0.203 0.390 0.497 0.605 0.776 1.008 240 fm0SF[12,23] 0.516 0.151 0.226 0.406 0.516 0.624 0.802 1.008 310 fm0SF[12,24] 0.508 0.156 0.188 0.404 0.512 0.620 0.779 1.003 510 fm0SF[12,25] 0.498 0.156 0.215 0.378 0.494 0.608 0.809 1.023 160 fm0SF[12,26] 0.503 0.153 0.225 0.391 0.494 0.618 0.798 1.008 280 fm0SF[12,27] 0.509 0.145 0.243 0.395 0.509 0.619 0.809 1.003 450 fm0SF[12,28] 0.510 0.146 0.216 0.412 0.501 0.615 0.778 1.003 600 fm0SF[12,29] 0.498 0.154 0.206 0.383 0.502 0.610 0.790 1.001 600 fm0SF[12,30] 0.494 0.150 0.219 0.379 0.489 0.597 0.790 1.004 600 fm0SF[12,31] 0.490 0.152 0.215 0.382 0.488 0.597 0.777 1.002 600 fm0SF[12,32] 0.519 0.149 0.232 0.412 0.525 0.634 0.798 1.004 600 fm0SF[12,33] 0.512 0.150 0.229 0.408 0.510 0.621 0.799 1.000 600 fm0SF[12,34] 0.504 0.156 0.209 0.390 0.501 0.616 0.806 1.003 600 fm0SF[12,35] 0.500 0.152 0.215 0.391 0.498 0.605 0.798 1.005 520 fm0SF[12,36] 0.501 0.157 0.205 0.381 0.498 0.621 0.798 1.007 240 fm0SF[12,37] 0.505 0.161 0.191 0.395 0.505 0.627 0.803 1.000 600 fm0SF[12,38] 0.496 0.149 0.219 0.395 0.493 0.607 0.781 1.004 600 fm0SF[13,1] 0.498 0.155 0.204 0.390 0.496 0.608 0.795 1.010 190 fm0SF[13,2] 0.496 0.156 0.195 0.380 0.505 0.609 0.794 1.003 600 fm0SF[13,3] 0.500 0.146 0.231 0.395 0.493 0.600 0.777 1.000 600 fm0SF[13,4] 0.568 0.093 0.385 0.506 0.569 0.632 0.742 1.001 600 fm0SF[13,5] 0.557 0.137 0.288 0.464 0.554 0.657 0.814 1.026 150 fm0SF[13,6] 0.493 0.154 0.209 0.377 0.494 0.600 0.788 1.004 350 fm0SF[13,7] 0.498 0.152 0.218 0.388 0.499 0.612 0.785 1.002 600 fm0SF[13,8] 0.498 0.153 0.201 0.388 0.493 0.603 0.804 1.001 600 fm0SF[13,9] 0.502 0.146 0.233 0.396 0.493 0.603 0.786 1.001 600 fm0SF[13,10] 0.501 0.149 0.215 0.397 0.499 0.607 0.780 1.006 260 fm0SF[13,11] 0.504 0.146 0.229 0.406 0.501 0.612 0.780 1.010 270 fm0SF[13,12] 0.500 0.146 0.209 0.397 0.494 0.604 0.764 1.002 600 fm0SF[13,13] 0.499 0.148 0.192 0.389 0.497 0.611 0.761 1.000 600 fm0SF[13,14] 0.495 0.146 0.212 0.391 0.490 0.600 0.777 0.999 600 fm0SF[13,15] 0.494 0.154 0.207 0.381 0.503 0.599 0.791 1.000 600 fm0SF[13,16] 0.504 0.149 0.206 0.397 0.500 0.618 0.781 1.009 430 fm0SF[13,17] 0.499 0.152 0.201 0.391 0.502 0.606 0.784 0.999 600 fm0SF[13,18] 0.503 0.149 0.213 0.395 0.504 0.605 0.801 1.001 600 fm0SF[13,19] 0.511 0.153 0.226 0.401 0.513 0.625 0.792 0.999 600 fm0SF[13,20] 0.496 0.153 0.209 0.385 0.493 0.605 0.790 1.001 600 fm0SF[13,21] 0.498 0.152 0.195 0.393 0.497 0.608 0.787 1.000 600 fm0SF[13,22] 0.494 0.151 0.206 0.386 0.485 0.603 0.780 1.010 350 fm0SF[13,23] 0.497 0.154 0.215 0.387 0.490 0.614 0.797 1.001 600 fm0SF[13,24] 0.503 0.154 0.225 0.388 0.496 0.619 0.791 0.999 600 fm0SF[13,25] 0.492 0.149 0.225 0.387 0.488 0.592 0.787 0.999 600 fm0SF[13,26] 0.503 0.152 0.216 0.394 0.503 0.606 0.797 0.999 600 fm0SF[13,27] 0.495 0.155 0.179 0.385 0.493 0.606 0.785 1.000 600 fm0SF[13,28] 0.503 0.148 0.212 0.400 0.498 0.606 0.796 1.004 400 fm0SF[13,29] 0.499 0.153 0.211 0.374 0.506 0.611 0.789 1.001 600 fm0SF[13,30] 0.498 0.151 0.216 0.392 0.502 0.606 0.774 1.000 600 fm0SF[13,31] 0.495 0.146 0.207 0.394 0.496 0.595 0.764 1.022 99 fm0SF[13,32] 0.504 0.140 0.231 0.411 0.508 0.593 0.772 1.004 430 fm0SF[13,33] 0.512 0.147 0.239 0.408 0.514 0.611 0.817 1.024 120 fm0SF[13,34] 0.499 0.147 0.207 0.400 0.505 0.602 0.786 1.004 600 fm0SF[13,35] 0.496 0.152 0.217 0.394 0.496 0.608 0.773 1.019 340 fm0SF[13,36] 0.507 0.149 0.210 0.397 0.508 0.613 0.774 1.001 600 fm0SF[13,37] 0.496 0.143 0.218 0.400 0.499 0.595 0.778 1.003 600 fm0SF[13,38] 0.492 0.152 0.195 0.387 0.492 0.601 0.794 1.002 520 deviance 3672.267 17.327 3639.000 3660.000 3672.000 3684.000 3705.025 1.004 420 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). pD = 149.9 and DIC = 3822.2 (using the rule, pD = var(deviance)/2) DIC is an estimate of expected predictive error (lower deviance is better).