Dati(1,1).t.sseh_ny_norm(p,n).Mnpf n=500 p=60 Sparsit�: 65.2174% fit rms cod 1 0.92724 0.068765 0.99471 2 0.86127 0.13112 0.98075 3 0.79343 0.19524 0.95733 4 0.72415 0.26073 0.9239 5 0.64162 0.33873 0.87157 6 0.54563 0.42945 0.79355 7 0.44211 0.5273 0.68876 8 0.33442 0.62908 0.55701 9 0.20625 0.75022 0.36996 10 0.05574 0.89248 0.10837 11 -0.10993 1.0491 -0.23194 12 -0.28337 1.213 -0.64704 13 -0.47492 1.394 -1.1754 14 -0.69025 1.5976 -1.8569 15 -0.9305 1.8246 -2.7268 16 -1.1905 2.0704 -3.7982 17 -1.4768 2.341 -5.1347 18 -1.7978 2.6443 -6.8274 19 -2.1555 2.9825 -8.9572 20 -2.5542 3.3593 -11.6324 21 -2.9954 3.7763 -14.9632 22 -3.4896 4.2434 -19.1569 23 -4.0388 4.7625 -24.3898 24 -4.6469 5.3372 -30.8875 25 -5.3196 5.973 -38.9367 26 -6.0635 6.6762 -48.8933 27 -6.8874 7.4549 -61.2109 28 -7.7907 8.3087 -76.2766 29 -8.7858 9.2492 -94.7617 30 -9.8508 10.2558 -116.74 Spar_sim -25212543022102163117572096 23829985506780171628183552 -635672325641351575930528146705043838367591617789952 Dati(1,2).t.sseh_ny_norm(p,n).Mnpf n=500 p=60 Sparsit�: 43.4783% fit rms cod 1 0.8939 0.1043 0.98874 2 0.85689 0.14067 0.97952 3 0.85145 0.14603 0.97793 4 0.83596 0.16126 0.97309 5 0.8283 0.16878 0.97052 6 0.82236 0.17462 0.96844 7 0.81855 0.17837 0.96708 8 0.81661 0.18027 0.96637 9 0.81544 0.18142 0.96594 10 0.81484 0.18202 0.96571 11 0.81418 0.18266 0.96547 12 0.81344 0.18339 0.96519 13 0.81209 0.18471 0.96469 14 0.81015 0.18662 0.96396 15 0.80769 0.18904 0.96302 16 0.80506 0.19162 0.962 17 0.80272 0.19392 0.96108 18 0.80084 0.19577 0.96034 19 0.79963 0.19696 0.95985 20 0.79894 0.19764 0.95958 21 0.79876 0.19782 0.9595 22 0.79874 0.19784 0.95949 23 0.79875 0.19783 0.9595 24 0.79876 0.19782 0.9595 25 0.79839 0.19818 0.95935 26 0.7979 0.19867 0.95915 27 0.79689 0.19966 0.95875 28 0.79565 0.20088 0.95824 29 0.79416 0.20234 0.95763 30 0.79259 0.20388 0.95698 Spar_sim 0.76357 0.23241 0.9441 Dati(1,3).t.sseh_ny_norm(p,n).Mnpf n=500 p=60 Sparsit�: 30.4348% fit rms cod 1 0.92101 0.075757 0.99376 2 0.8822 0.11298 0.98612 3 0.84583 0.14786 0.97623 4 0.82195 0.17077 0.9683 5 0.80076 0.19109 0.9603 6 0.78152 0.20955 0.95226 7 0.76781 0.2227 0.94609 8 0.75412 0.23583 0.93954 9 0.73937 0.24998 0.93207 10 0.72806 0.26082 0.92605 11 0.71745 0.271 0.92017 12 0.70677 0.28124 0.91402 13 0.69755 0.29009 0.90852 14 0.68859 0.29868 0.90303 15 0.6798 0.30711 0.89747 16 0.672 0.3146 0.89241 17 0.665 0.32131 0.88777 18 0.6591 0.32696 0.88379 19 0.65442 0.33145 0.88058 20 0.65066 0.33506 0.87796 21 0.64775 0.33785 0.87592 22 0.64553 0.33998 0.87435 23 0.64383 0.34161 0.87314 24 0.64263 0.34276 0.87229 25 0.64183 0.34352 0.87172 26 0.64136 0.34398 0.87138 27 0.64118 0.34415 0.87125 28 0.64123 0.3441 0.87129 29 0.64146 0.34389 0.87145 30 0.64184 0.34352 0.87172 Spar_sim 0.64575 0.33977 0.87451 Dati(1,4).t.sseh_ny_norm(p,n).Mnpf n=500 p=60 Sparsit�: 43.4783% fit rms cod 1 0.91622 0.081071 0.99298 2 0.88644 0.10988 0.98711 3 0.87925 0.11684 0.98542 4 0.8787 0.11737 0.98529 5 0.8802 0.11592 0.98565 6 0.88277 0.11343 0.98626 7 0.88338 0.11284 0.9864 8 0.88136 0.1148 0.98592 9 0.87283 0.12305 0.98383 10 0.8649 0.13073 0.98175 11 0.86109 0.13441 0.9807 12 0.86099 0.13451 0.98068 13 0.86158 0.13394 0.98084 14 0.86074 0.13476 0.98061 15 0.85732 0.13806 0.97964 16 0.85141 0.14379 0.97792 17 0.84338 0.15156 0.97547 18 0.83552 0.15916 0.97295 19 0.82978 0.16472 0.97102 20 0.82669 0.1677 0.96996 21 0.82476 0.16957 0.96929 22 0.82236 0.17189 0.96844 23 0.81855 0.17558 0.96708 24 0.81342 0.18055 0.96519 25 0.80767 0.18611 0.96301 26 0.80235 0.19125 0.96094 27 0.79833 0.19515 0.95933 28 0.79574 0.19765 0.95828 29 0.79391 0.19942 0.95753 30 0.792 0.20127 0.95674 Spar_sim 0.68374 0.30603 0.89998 Dati(1,5).t.sseh_ny_norm(p,n).Mnpf n=500 p=60 Sparsit�: 65.2174% fit rms cod 1 0.94459 0.036494 0.99693 2 0.9265 0.048408 0.9946 3 0.91065 0.058847 0.99202 4 0.9003 0.065666 0.99006 5 0.8881 0.073703 0.98748 6 0.87409 0.082929 0.98415 7 0.86249 0.090568 0.98109 8 0.85355 0.096457 0.97855 9 0.84336 0.10317 0.97547 10 0.83379 0.10947 0.97238 11 0.82456 0.11555 0.96922 12 0.81582 0.12131 0.96608 13 0.80661 0.12737 0.9626 14 0.79744 0.13341 0.95897 15 0.78816 0.13952 0.95513 16 0.7798 0.14503 0.95151 17 0.77059 0.1511 0.94737 18 0.76169 0.15696 0.94321 19 0.753 0.16268 0.93899 20 0.74474 0.16812 0.93484 21 0.73613 0.17379 0.93037 22 0.728 0.17915 0.92601 23 0.71999 0.18443 0.92159 24 0.71257 0.18931 0.91739 25 0.70516 0.19419 0.91307 26 0.69831 0.1987 0.90898 27 0.69159 0.20313 0.90488 28 0.68546 0.20716 0.90107 29 0.6794 0.21115 0.89722 30 0.67363 0.21496 0.89348 Spar_sim 0.25657 0.48965 0.4473 Dati(1,6).t.sseh_ny_norm(p,n).Mnpf n=500 p=60 Sparsit�: 43.4783% fit rms cod 1 0.91181 0.084367 0.99222 2 0.8221 0.17019 0.96835 3 0.74144 0.24735 0.93315 4 0.67644 0.30953 0.89531 5 0.62003 0.3635 0.85562 6 0.57341 0.4081 0.81802 7 0.53682 0.4431 0.78546 8 0.5091 0.46962 0.75902 9 0.48856 0.48927 0.73843 10 0.47458 0.50265 0.72393 11 0.46498 0.51182 0.71376 12 0.45853 0.518 0.70681 13 0.45381 0.52252 0.70167 14 0.45027 0.5259 0.6978 15 0.4476 0.52845 0.69486 16 0.44553 0.53043 0.69256 17 0.44384 0.53205 0.69068 18 0.44256 0.53327 0.68926 19 0.44162 0.53418 0.68821 20 0.44098 0.53478 0.6875 21 0.4405 0.53525 0.68696 22 0.4403 0.53544 0.68674 23 0.44044 0.5353 0.68689 24 0.44091 0.53485 0.68742 25 0.44151 0.53428 0.68809 26 0.4422 0.53362 0.68886 27 0.44288 0.53297 0.68962 28 0.44355 0.53233 0.69036 29 0.44409 0.53181 0.69097 30 0.44466 0.53127 0.69159 Spar_sim 0.4046 0.56959 0.64549 Dati(1,7).t.sseh_ny_norm(p,n).Mnpf n=500 p=60 Sparsit�: 26.087% fit rms cod 1 0.90028 0.089069 0.99006 2 0.8548 0.12969 0.97892 3 0.83886 0.14393 0.97403 4 0.82062 0.16022 0.96782 5 0.80417 0.17492 0.96165 6 0.79527 0.18286 0.95809 7 0.78605 0.1911 0.95422 8 0.77688 0.19929 0.95022 9 0.76686 0.20824 0.94564 10 0.75709 0.21697 0.94099 11 0.74903 0.22416 0.93701 12 0.74155 0.23085 0.9332 13 0.73495 0.23674 0.92975 14 0.72907 0.24199 0.9266 15 0.72372 0.24677 0.92367 16 0.71871 0.25124 0.92088 17 0.7141 0.25537 0.91826 18 0.70977 0.25923 0.91577 19 0.70577 0.26281 0.91343 20 0.70207 0.26611 0.91123 21 0.69869 0.26913 0.90921 22 0.69565 0.27184 0.90737 23 0.69276 0.27442 0.9056 24 0.69015 0.27676 0.90399 25 0.68763 0.279 0.90243 26 0.68533 0.28106 0.90099 27 0.68313 0.28303 0.89959 28 0.68108 0.28486 0.89829 29 0.67916 0.28657 0.89706 30 0.67731 0.28823 0.89587 Spar_sim 0.62109 0.33844 0.85643 Dati(1,8).t.sseh_ny_norm(p,n).Mnpf n=500 p=60 Sparsit�: 30.4348% fit rms cod 1 0.87309 0.13075 0.98389 2 0.76517 0.24194 0.94485 3 0.68434 0.32521 0.90036 4 0.60502 0.40692 0.84399 5 0.50919 0.50565 0.75911 6 0.40987 0.60798 0.65174 7 0.30471 0.71632 0.51657 8 0.19223 0.83219 0.34751 9 0.07295 0.95508 0.14058 10 -0.052547 1.0844 -0.10786 11 -0.18477 1.2206 -0.40367 12 -0.3234 1.3634 -0.75138 13 -0.46838 1.5128 -1.1561 14 -0.62072 1.6697 -1.6267 15 -0.78032 1.8342 -2.1695 16 -0.94688 2.0057 -2.7903 17 -1.1209 2.185 -3.4982 18 -1.3024 2.372 -4.301 19 -1.4914 2.5667 -5.207 20 -1.6879 2.7692 -6.2248 21 -1.8918 2.9793 -7.3627 22 -2.1032 3.197 -8.6299 23 -2.3225 3.4229 -10.0387 24 -2.5495 3.6568 -11.5989 25 -2.7848 3.8993 -13.3249 26 -3.0284 4.1502 -15.2281 27 -3.2811 4.4105 -17.3276 28 -3.5427 4.6801 -19.6365 29 -3.8138 4.9594 -22.1727 30 -4.0944 5.2484 -24.9529 Spar_sim -1461988734.8903 1506197261.8872 -2137411063870182912