These are the original data 4.370 9.933 2.831 1.439 1.548 10.631 10.631 9.530 3.407 5.809 11.180 1.128 4.540 3.951 2.177 3.056 3.940 1.032 6.394 6.735 0.928 2.901 7.045 2.840 1.605 6.571 11.142 4.493 10.096 3.267 1.493 1.500 11.558 11.558 9.717 3.345 5.941 11.379 1.169 4.880 4.374 2.463 3.105 4.003 0.901 6.515 6.917 1.017 3.003 7.419 2.957 1.745 6.491 11.145 4.751 10.633 3.833 1.523 1.567 12.269 12.269 10.061 3.740 6.219 11.932 1.203 4.990 4.623 2.876 3.215 4.147 1.018 7.055 7.148 1.034 3.417 7.819 3.018 1.934 6.782 11.134 5.151 11.378 4.256 1.684 1.705 12.851 12.851 10.642 4.276 6.854 12.657 1.444 5.529 4.715 3.213 3.402 4.392 1.272 7.617 7.523 1.109 3.696 8.128 3.330 1.878 7.275 11.246 5.386 11.045 5.259 1.891 1.729 13.294 13.294 11.156 5.020 6.990 12.866 1.552 6.109 4.961 3.402 3.570 4.613 1.551 7.981 7.801 1.219 3.809 8.371 3.735 2.036 7.881 11.257 5.248 11.133 5.641 1.933 1.980 12.883 12.883 11.673 5.545 7.039 12.641 1.990 5.995 4.769 3.639 3.745 4.838 1.483 8.167 7.856 1.288 4.133 8.081 3.803 2.224 8.092 11.447 5.357 11.033 5.901 1.907 2.122 12.753 12.753 12.194 6.439 6.880 12.423 2.163 6.038 5.228 4.076 3.925 5.050 1.313 8.315 7.969 1.326 4.377 7.969 3.724 2.406 9.290 11.310 5.413 11.208 6.633 1.916 2.305 12.683 12.683 12.650 6.208 7.313 12.169 2.248 5.728 5.650 4.428 4.072 5.219 1.670 8.469 8.099 1.397 4.712 7.890 3.719 2.645 8.763 10.775 5.706 12.316 7.107 2.042 2.712 13.239 13.239 12.885 7.196 7.510 12.743 2.552 5.936 6.106 4.683 4.146 5.306 2.070 8.913 8.541 1.471 5.056 8.187 3.945 2.932 9.810 10.980 6.001 12.805 7.863 2.108 2.757 14.028 14.028 13.280 8.198 8.015 13.505 2.901 6.030 6.308 5.039 4.282 5.474 2.143 8.987 9.015 1.667 5.575 8.623 4.069 2.895 10.843 11.307 6.783 13.000 7.208 2.722 2.777 16.148 16.148 13.815 8.762 8.453 13.128 2.746 6.742 6.559 5.509 4.473 5.699 2.191 10.870 9.313 1.756 5.927 9.838 5.273 3.455 11.477 11.670 6.859 12.435 7.588 2.577 3.109 15.621 15.621 14.357 8.824 8.530 12.811 3.165 5.948 7.509 5.711 4.672 5.922 2.147 9.973 8.943 1.813 5.821 8.878 4.242 3.757 10.420 11.311 7.114 13.407 7.783 2.575 3.820 15.467 15.467 14.952 9.632 8.783 13.079 3.636 6.126 7.285 5.998 4.881 6.168 2.711 11.065 9.237 1.858 5.963 8.945 4.213 3.928 10.408 10.967 7.528 13.985 7.970 2.786 3.989 15.095 15.095 15.420 10.513 9.394 13.661 4.178 6.549 7.023 6.377 5.040 6.363 2.614 11.512 9.589 2.074 6.435 9.259 4.541 4.351 10.583 11.507 7.166 13.742 8.043 2.992 3.002 14.932 14.932 15.863 9.724 8.957 13.316 4.031 6.725 7.460 6.406 5.184 6.545 2.384 10.918 9.884 2.091 6.442 9.374 4.875 4.630 9.654 10.815 6.990 12.144 8.525 3.057 3.038 15.467 15.467 16.538 9.638 8.242 12.679 4.255 6.889 6.881 6.072 5.405 6.820 2.104 10.436 10.214 2.182 6.871 9.595 4.946 4.743 9.881 10.456 7.566 13.057 8.483 3.125 3.740 15.843 15.843 17.043 10.883 8.908 13.474 4.733 7.213 7.094 6.527 5.576 7.018 2.387 11.224 10.805 2.273 7.422 9.607 4.994 5.174 10.666 10.552 7.215 12.954 8.762 3.298 4.034 16.691 16.691 17.487 10.769 8.608 13.304 4.902 7.529 7.485 6.330 5.731 7.196 2.508 10.839 11.066 2.223 7.708 9.869 5.210 4.966 10.252 10.733 7.598 13.497 9.126 3.556 4.179 16.238 16.238 17.958 11.695 8.922 13.826 5.135 8.254 7.276 6.456 5.895 7.382 2.934 11.581 11.681 2.341 8.264 10.848 5.587 4.908 9.536 10.677 7.948 13.825 9.489 3.679 4.447 17.081 17.081 18.108 11.605 9.024 14.441 5.351 8.113 8.359 6.719 5.958 7.439 2.808 12.637 11.716 2.538 8.434 10.808 5.736 5.113 9.822 11.246 7.733 13.126 9.759 3.546 4.692 16.419 16.419 18.714 11.734 8.617 13.780 5.356 8.030 7.885 6.744 6.180 7.697 3.127 11.912 11.870 2.729 8.266 11.488 5.485 5.387 8.981 10.272 7.328 12.052 9.289 3.924 4.450 16.499 16.499 18.228 9.780 7.714 13.315 5.277 7.955 7.772 6.557 6.044 7.511 3.511 11.899 10.875 2.816 8.234 11.156 6.089 5.444 8.138 10.103 7.058 11.406 9.455 4.099 4.527 16.734 16.734 18.444 9.409 7.341 12.806 5.380 7.963 7.484 6.458 6.131 7.596 3.928 10.279 10.972 2.881 8.106 10.706 6.394 5.290 7.461 9.752 7.079 10.497 9.280 4.457 4.508 16.837 16.837 18.583 9.084 7.002 12.863 5.723 7.642 7.395 6.379 6.183 7.646 2.904 10.318 10.922 2.931 8.161 10.733 6.961 5.373 6.793 9.728 7.313 10.703 9.057 4.461 4.565 17.089 17.089 18.630 9.271 6.741 13.182 5.836 7.836 7.257 6.490 6.200 7.653 3.993 10.616 11.252 2.853 7.962 11.027 6.969 5.046 6.705 9.418 7.475 10.619 9.341 4.657 4.419 17.068 17.068 19.964 10.078 6.546 13.300 6.185 7.761 7.684 6.463 6.644 8.175 3.418 10.729 11.477 2.725 7.884 10.892 7.284 4.875 7.165 9.829 7.326 10.690 9.478 4.759 4.898 17.059 17.059 19.883 10.207 6.289 13.324 6.149 7.644 8.067 6.492 6.613 8.128 5.407 11.701 11.571 3.071 8.115 10.312 7.736 4.959 7.346 10.052 7.454 10.703 9.565 4.595 5.592 17.156 17.156 20.573 11.052 6.160 13.181 6.654 7.748 8.540 6.857 6.826 8.385 5.632 11.162 11.918 3.163 8.465 10.599 7.370 4.961 7.114 10.105 7.182 10.889 9.445 4.760 5.543 16.835 16.835 20.904 10.893 6.109 13.059 7.034 7.291 8.335 6.939 6.908 8.481 6.075 10.643 11.586 3.317 8.623 10.705 7.254 5.095 6.794 10.084 7.199 10.995 9.452 4.777 5.752 16.118 16.118 20.384 10.820 6.355 12.662 7.477 7.258 8.670 7.260 6.729 8.241 6.529 10.682 11.040 4.153 8.395 10.821 7.228 5.562 6.421 9.867 7.665 11.177 8.865 4.794 5.771 14.717 14.717 23.084 11.068 6.266 12.192 7.572 6.589 8.928 7.357 7.113 9.202 6.466 10.560 9.141 4.312 7.423 11.047 7.025 5.646 6.312 9.722 8.128 11.684 6.683 3.764 6.352 13.428 13.428 20.867 11.267 6.717 11.785 7.399 6.289 9.043 7.339 6.543 9.757 6.094 11.073 9.117 4.467 6.282 9.625 6.616 5.791 6.355 9.937 7.415 11.576 6.466 3.590 6.600 12.957 12.957 15.531 10.753 6.440 11.236 7.441 5.682 9.006 7.322 5.328 5.542 5.924 10.895 8.866 4.867 5.680 8.783 6.351 6.061 6.609 9.634 7.390 11.262 6.628 3.573 6.671 12.648 12.648 12.201 10.883 6.082 11.075 7.450 5.712 8.974 7.176 4.607 4.382 7.595 11.104 8.876 4.736 5.253 8.361 6.754 5.653 6.519 9.408 7.376 11.831 6.342 3.439 6.754 12.077 12.077 12.206 12.130 5.989 10.902 7.531 5.679 9.277 7.100 4.047 4.177 6.740 11.142 8.742 4.881 5.116 7.791 6.825 5.914 6.733 9.296 7.708 11.770 6.460 3.566 6.476 12.335 12.335 11.310 11.048 6.114 10.840 7.808 5.687 9.388 7.498 3.603 3.993 6.344 11.181 8.759 5.213 5.330 7.885 7.299 6.242 6.670 9.078 8.172 12.325 6.574 3.674 6.674 12.545 12.545 12.132 12.225 6.339 11.147 7.758 5.777 9.708 7.451 3.667 4.195 6.171 11.608 9.160 5.029 5.533 7.950 7.710 5.951 7.279 9.387 8.072 12.031 6.254 4.008 6.629 12.326 12.326 11.984 11.765 6.204 10.781 7.819 5.637 9.934 7.519 3.490 4.116 6.503 11.200 8.889 5.260 5.119 7.995 7.963 6.429 6.586 8.989 8.125 12.195 6.023 4.335 7.038 11.644 11.644 11.666 11.122 6.621 10.699 8.105 5.696 10.506 7.717 3.391 4.382 6.251 11.168 8.278 5.706 4.482 7.820 7.883 6.676 6.669 9.042 7.913 11.834 5.360 4.315 7.159 11.060 11.060 10.922 10.981 6.497 10.321 8.029 5.734 10.833 7.793 3.087 3.724 6.300 10.799 8.038 6.339 3.869 7.634 7.614 7.170 6.532 8.966 7.931 11.939 5.319 4.311 7.385 12.136 12.136 10.591 10.805 6.382 10.281 8.714 5.470 11.152 7.823 2.881 3.279 5.533 10.927 7.800 6.254 4.013 7.216 7.410 7.524 6.090 9.064 8.421 12.004 5.748 4.535 7.116 12.135 12.135 11.009 11.771 6.441 10.465 8.852 5.625 11.659 7.875 3.093 3.536 6.259 11.213 7.727 6.166 4.272 7.447 7.804 7.501 6.018 9.238 8.576 11.229 5.502 4.782 7.172 11.766 11.766 10.759 12.229 6.277 10.288 8.830 5.574 11.240 7.988 3.181 3.590 5.783 11.151 7.452 6.491 4.327 7.357 7.870 7.793 6.198 8.938 9.173 11.899 6.084 5.124 7.812 12.140 12.140 12.266 13.782 6.345 10.299 9.168 5.832 10.934 8.258 3.316 3.621 6.473 11.383 7.750 5.985 4.636 7.450 7.923 7.869 6.291 9.098 9.280 11.463 6.058 5.023 7.593 12.256 12.256 12.490 12.990 6.310 10.102 9.116 5.737 11.000 8.341 3.359 3.862 6.430 11.440 7.849 6.115 4.554 7.234 7.997 8.155 6.099 9.062 9.347 11.166 6.215 5.057 7.639 11.961 11.961 12.720 10.636 6.313 9.910 9.249 5.758 11.167 8.295 3.443 4.182 6.711 11.116 7.842 6.378 4.595 7.416 8.072 8.351 5.724 8.966 9.057 10.850 6.442 5.079 7.584 11.992 11.992 11.844 12.787 6.143 10.084 9.158 5.710 11.094 8.228 3.678 4.316 6.366 10.998 8.173 5.859 4.757 7.307 8.239 8.082 5.450 8.928 8.755 10.420 7.029 5.374 7.802 12.124 12.124 14.713 12.305 6.002 9.701 9.509 5.559 10.589 8.059 3.859 4.633 6.712 11.136 8.193 5.894 4.744 7.214 8.165 8.203 5.227 8.643 8.831 10.703 6.818 5.138 7.859 11.542 11.542 13.554 10.767 5.874 9.803 9.161 5.458 10.186 7.763 3.704 4.617 6.278 11.209 8.085 5.422 4.766 7.165 8.603 7.357 4.973 8.249 7.944 9.768 5.845 4.781 7.498 10.731 10.731 11.114 10.314 5.529 9.127 8.777 4.965 8.929 6.904 3.498 4.021 5.940 10.741 7.767 5.374 4.051 6.494 7.598 6.409 4.652 7.416 8.552 10.436 6.113 4.603 7.124 11.075 11.075 14.020 11.734 5.599 9.617 8.217 5.054 8.813 7.024 4.119 4.434 5.959 11.340 8.261 4.888 3.897 6.807 7.761 6.031 5.188 7.630 8.328 10.391 6.813 4.699 6.848 10.935 10.935 13.324 10.375 5.178 9.300 8.075 4.912 7.915 6.896 3.830 4.522 5.934 10.563 8.147 4.858 4.225 6.543 7.671 6.021 4.750 6.986 7.940 9.785 6.261 4.028 5.722 10.435 10.435 12.361 9.223 5.237 9.623 7.616 4.551 8.033 6.577 3.446 4.600 6.008 10.457 7.958 4.994 4.111 6.166 7.112 5.891 4.398 7.276 overall test -2.231 0.063 -35.505 ================== 0.048 0.281 2.000 18.000 0.048 0.281 3.000 21.000 1.039 8.685 4.000 5.000 0.090 2.316 5.000 25.000 -0.441 -24.124 ================= 0.000 0.281 8.685 2.316 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 3.000 =========core regression ========= 1.039 8.685 5.000 0.090 2.316 first convergence group 5.000 12.000 18.000 21.000 3.000 ========== core group ===== 1.039 0.120 8.685 3.000 ========== first group ===== 0.090 0.039 2.316 4.000 ============== -1.924 0.021 -89.702 4.000 23.000 ============== ============= 27.000 -2.214 -16.067 2.219 1.510 3.000 13.000 2.219 1.510 4.000 8.000 0.959 6.491 5.000 20.000 0.556 14.877 6.000 3.000 -1.101 -6.286 ================= 0.000 0.000 1.510 6.491 14.877 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 5.000 =========core regression ========= 0.556 14.877 12.000 0.372 3.324 ========== first group ===== 0.372 0.112 3.324 5.000 ============== 0.372 0.112 3.324 5.000 18.000 ============== 4.000 9.000 14.000 15.000 24.000 ======== stop here ========= -1.524 0.019 -80.385 9.000 ========== stop1========= -1.944 0.022 -88.901 ========== stop2========= =============== third =============== -8.134 -8.036 4.030 18.309 3.000 1.000 4.030 18.309 4.000 12.000 2.603 22.922 5.000 14.000 1.278 12.830 6.000 6.000 0.410 8.709 7.000 10.000 -0.241 -7.163 ================= 0.000 0.000 18.309 22.922 12.830 8.709 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 0.000 4.000 =========core regression ========= 2.603 22.922 14.000 1.278 12.830 6.000 0.635 17.494 10.000 0.129 3.935 13.000 0.524 12.991 9.000 0.471 7.036 5.000 0.293 6.122 4.000 0.293 6.122 2.000 0.724 12.185 7.000 0.355 6.876 15.000 0.122 1.851 8.000 0.161 4.539 18.000 0.157 4.002 ========== first group ===== -0.392 0.038 -10.339 15.000 ============== -0.392 0.038 -10.339 15.000 3.000 ============== 1.000 2.000 3.000 6.000 7.000 8.000 10.000 11.000 13.000 16.000 19.000 20.000 22.000 23.000 27.000 ======== stop here ========= ============== 2nd + 3rd together ============ -1.638 0.016 -104.777 20.000 ========== stop3========= -2.627 0.061 -43.236 ========== stop4========= =============== forth =============== -3.050 -48.089 0.913 4.130 3.000 3.000 0.913 4.130