Dati(1,1).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 71.875% fit rms cod 1 0.93497 0.044561 0.99577 2 0.88711 0.077362 0.98726 3 0.85404 0.10002 0.9787 4 0.83154 0.11544 0.97162 5 0.81944 0.12373 0.9674 6 0.8063 0.13274 0.96248 7 0.7997 0.13726 0.95988 8 0.7967 0.13932 0.95867 9 0.79423 0.14101 0.95766 10 0.79065 0.14347 0.95617 11 0.7846 0.14761 0.9536 12 0.76925 0.15813 0.94676 13 0.75782 0.16596 0.94135 14 0.7509 0.1707 0.93795 15 0.74249 0.17646 0.93369 16 0.73269 0.18318 0.92854 17 0.71967 0.19211 0.92141 18 0.70894 0.19946 0.91529 19 0.70062 0.20516 0.91037 20 0.69295 0.21042 0.90572 21 0.68582 0.2153 0.90129 22 0.67895 0.22001 0.89693 23 0.67185 0.22487 0.89232 24 0.66738 0.22794 0.88936 25 0.66349 0.23061 0.88676 26 0.65695 0.23509 0.88231 27 0.64865 0.24077 0.87655 28 0.63917 0.24727 0.8698 29 0.63132 0.25265 0.86408 30 0.62425 0.2575 0.85881 Dati(1,2).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 31.25% fit rms cod 1 0.9537 0.035512 0.99786 2 0.95021 0.038188 0.99752 3 0.94845 0.039541 0.99734 4 0.9475 0.040267 0.99724 5 0.9339 0.050701 0.99563 6 0.93091 0.052993 0.99523 7 0.92877 0.054633 0.99493 8 0.92748 0.055623 0.99474 9 0.91836 0.062619 0.99333 10 0.91564 0.064704 0.99288 11 0.91339 0.06643 0.9925 12 0.91207 0.06744 0.99227 13 0.90645 0.071756 0.99125 14 0.90418 0.073495 0.99082 15 0.90185 0.075281 0.99037 16 0.90051 0.076306 0.9901 17 0.89622 0.079599 0.98923 18 0.89421 0.081137 0.98881 19 0.8922 0.08268 0.98838 20 0.89095 0.083641 0.98811 21 0.88779 0.086065 0.98741 22 0.88601 0.087428 0.98701 23 0.88423 0.088795 0.9866 24 0.88313 0.089642 0.98634 25 0.88096 0.091305 0.98583 26 0.87958 0.092362 0.9855 27 0.8783 0.093345 0.98519 28 0.87746 0.093984 0.98499 29 0.87593 0.095162 0.98461 30 0.87487 0.095972 0.98434 Dati(1,3).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 43.75% fit rms cod 1 0.94275 0.04876 0.99672 2 0.91493 0.072457 0.99276 3 0.90129 0.084075 0.99026 4 0.8965 0.088153 0.98929 5 0.89369 0.090548 0.9887 6 0.89113 0.092724 0.98815 7 0.88868 0.094811 0.98761 8 0.88715 0.096114 0.98727 9 0.88643 0.096728 0.9871 10 0.88607 0.097036 0.98702 11 0.8858 0.097269 0.98696 12 0.88562 0.097418 0.98692 13 0.88555 0.097476 0.9869 14 0.88554 0.097486 0.9869 15 0.88555 0.097482 0.9869 16 0.88555 0.09748 0.9869 17 0.88555 0.097479 0.9869 18 0.88556 0.097473 0.9869 19 0.88557 0.097465 0.98691 20 0.88557 0.09746 0.98691 21 0.88558 0.097457 0.98691 22 0.88558 0.097455 0.98691 23 0.88558 0.097453 0.98691 24 0.88558 0.097452 0.98691 25 0.88559 0.09745 0.98691 26 0.88559 0.09745 0.98691 27 0.88559 0.09745 0.98691 28 0.88559 0.09745 0.98691 29 0.88559 0.097449 0.98691 30 0.88559 0.097449 0.98691 Dati(1,4).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 46.875% fit rms cod 1 0.9622 0.030176 0.99857 2 0.94501 0.043901 0.99698 3 0.93283 0.053627 0.99549 4 0.92548 0.05949 0.99445 5 0.91896 0.064695 0.99343 6 0.91288 0.069552 0.99241 7 0.90672 0.074473 0.9913 8 0.90055 0.079393 0.99011 9 0.89464 0.084115 0.9889 10 0.88887 0.088719 0.98765 11 0.88419 0.09246 0.98659 12 0.88005 0.09576 0.98561 13 0.87636 0.098709 0.98471 14 0.87293 0.10145 0.98385 15 0.86953 0.10416 0.98298 16 0.86638 0.10668 0.98214 17 0.86332 0.10912 0.98132 18 0.86051 0.11136 0.98054 19 0.85777 0.11355 0.97977 20 0.8553 0.11552 0.97906 21 0.85299 0.11737 0.97839 22 0.85084 0.11908 0.97775 23 0.84888 0.12065 0.97716 24 0.84702 0.12213 0.9766 25 0.84526 0.12353 0.97606 26 0.84353 0.12492 0.97552 27 0.84186 0.12625 0.97499 28 0.84016 0.12761 0.97445 29 0.83838 0.12903 0.97388 30 0.83657 0.13047 0.97329 Dati(1,5).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 34.375% fit rms cod 1 0.95411 0.035841 0.99789 2 0.94384 0.043865 0.99685 3 0.93667 0.049464 0.99599 4 0.92574 0.058001 0.99449 5 0.91804 0.064013 0.99328 6 0.91508 0.066322 0.99279 7 0.91196 0.068761 0.99225 8 0.90924 0.070888 0.99176 9 0.90799 0.071859 0.99153 10 0.90733 0.072375 0.99141 11 0.90669 0.072881 0.99129 12 0.90634 0.073148 0.99123 13 0.90624 0.073226 0.99121 14 0.90615 0.073296 0.99119 15 0.90609 0.073348 0.99118 16 0.90609 0.073348 0.99118 17 0.9061 0.073339 0.99118 18 0.9061 0.073338 0.99118 19 0.90611 0.07333 0.99118 20 0.90612 0.073319 0.99119 21 0.90613 0.073312 0.99119 22 0.90614 0.073307 0.99119 23 0.90615 0.073302 0.99119 24 0.90615 0.073298 0.99119 25 0.90615 0.073296 0.99119 26 0.90616 0.073294 0.99119 27 0.90616 0.073292 0.99119 28 0.90616 0.073292 0.99119 29 0.90616 0.073291 0.99119 30 0.90616 0.073291 0.99119 Dati(1,6).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 25% fit rms cod 1 0.95825 0.033678 0.99826 2 0.93686 0.050929 0.99601 3 0.92049 0.064131 0.99368 4 0.91039 0.072279 0.99197 5 0.90051 0.080252 0.9901 6 0.89209 0.087036 0.98836 7 0.88458 0.093098 0.98668 8 0.87831 0.098154 0.98519 9 0.87261 0.10275 0.98377 10 0.86768 0.10673 0.98249 11 0.86335 0.11022 0.98133 12 0.8596 0.11325 0.98029 13 0.85633 0.11588 0.97936 14 0.85353 0.11814 0.97855 15 0.85108 0.12012 0.97782 16 0.84894 0.12184 0.97718 17 0.84704 0.12337 0.9766 18 0.84536 0.12473 0.97609 19 0.8439 0.12591 0.97563 20 0.84261 0.12695 0.97523 21 0.84149 0.12786 0.97487 22 0.84051 0.12864 0.97456 23 0.83969 0.1293 0.9743 24 0.83898 0.12988 0.97407 25 0.83836 0.13038 0.97387 26 0.83781 0.13082 0.97369 27 0.83733 0.13121 0.97354 28 0.83691 0.13155 0.9734 29 0.83654 0.13185 0.97328 30 0.83622 0.1321 0.97318 Dati(1,7).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 25% fit rms cod 1 0.96134 0.030171 0.99851 2 0.93608 0.049878 0.99591 3 0.92125 0.061449 0.9938 4 0.91282 0.06803 0.9924 5 0.90813 0.071685 0.99156 6 0.90585 0.073464 0.99114 7 0.90543 0.073796 0.99106 8 0.9064 0.073034 0.99124 9 0.90815 0.07167 0.99156 10 0.91018 0.070087 0.99193 11 0.91205 0.068631 0.99226 12 0.9135 0.067499 0.99252 13 0.91447 0.066742 0.99268 14 0.91502 0.066314 0.99278 15 0.91529 0.066102 0.99282 16 0.91533 0.066068 0.99283 17 0.91518 0.066185 0.99281 18 0.91492 0.06639 0.99276 19 0.91464 0.066611 0.99271 20 0.91439 0.066801 0.99267 21 0.91419 0.066958 0.99264 22 0.91405 0.067071 0.99261 23 0.91396 0.067138 0.9926 24 0.91392 0.067169 0.99259 25 0.91391 0.067174 0.99259 26 0.91393 0.06716 0.99259 27 0.91396 0.067135 0.9926 28 0.914 0.067108 0.9926 29 0.91403 0.067083 0.99261 30 0.91406 0.067063 0.99261 Dati(1,8).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 53.125% fit rms cod 1 0.96145 0.030464 0.99851 2 0.956 0.034766 0.99806 3 0.95308 0.037074 0.9978 4 0.95161 0.038237 0.99766 5 0.94761 0.041398 0.99726 6 0.94404 0.044221 0.99687 7 0.9402 0.047252 0.99642 8 0.93692 0.049851 0.99602 9 0.93227 0.053518 0.99541 10 0.92806 0.056852 0.99482 11 0.92442 0.059722 0.99429 12 0.92133 0.062167 0.99381 13 0.91777 0.064976 0.99324 14 0.9143 0.067725 0.99265 15 0.91046 0.070759 0.99198 16 0.90712 0.073395 0.99137 17 0.9039 0.075937 0.99077 18 0.90065 0.078509 0.99013 19 0.89756 0.080952 0.98951 20 0.89504 0.082942 0.98898 21 0.89275 0.084753 0.9885 22 0.89041 0.086601 0.98799 23 0.88775 0.088701 0.9874 24 0.88493 0.090929 0.98676 25 0.88209 0.093177 0.9861 26 0.87939 0.095306 0.98545 27 0.87668 0.097452 0.98479 28 0.87399 0.099576 0.98412 29 0.87114 0.10183 0.98339 30 0.86849 0.10392 0.98271 Dati(1,9).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 59.375% fit rms cod 1 0.89176 0.10553 0.98829 2 0.79848 0.19649 0.95939 3 0.72787 0.26534 0.92594 4 0.69724 0.2952 0.90834 5 0.68544 0.30671 0.90105 6 0.68414 0.30797 0.90023 7 0.68751 0.30469 0.90235 8 0.6909 0.30139 0.90446 9 0.69286 0.29947 0.90567 10 0.69305 0.29929 0.90578 11 0.69205 0.30026 0.90517 12 0.69039 0.30189 0.90414 13 0.68867 0.30356 0.90308 14 0.68806 0.30416 0.90269 15 0.68803 0.30419 0.90267 16 0.68825 0.30397 0.90281 17 0.68854 0.30369 0.90299 18 0.68869 0.30354 0.90308 19 0.68873 0.3035 0.90311 20 0.68872 0.30351 0.9031 21 0.68871 0.30352 0.9031 22 0.68873 0.3035 0.90311 23 0.68876 0.30347 0.90313 24 0.68877 0.30346 0.90314 25 0.68874 0.30349 0.90312 26 0.68871 0.30353 0.9031 27 0.68868 0.30355 0.90308 28 0.68867 0.30356 0.90307 29 0.68867 0.30356 0.90307 30 0.68868 0.30355 0.90308 Dati(1,10).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 46.875% fit rms cod 1 0.95379 0.039774 0.99786 2 0.93204 0.058496 0.99538 3 0.9149 0.073252 0.99276 4 0.90001 0.08607 0.99 5 0.89337 0.091784 0.98863 6 0.892 0.092964 0.98834 7 0.89457 0.090753 0.98888 8 0.89998 0.086097 0.99 9 0.90603 0.080884 0.99117 10 0.91165 0.076049 0.99219 11 0.91542 0.072808 0.99285 12 0.91747 0.071036 0.99319 13 0.91801 0.070576 0.99328 14 0.91742 0.071085 0.99318 15 0.9156 0.072651 0.99288 16 0.91298 0.074908 0.99243 17 0.91022 0.077282 0.99194 18 0.90766 0.079488 0.99147 19 0.90594 0.080967 0.99115 20 0.90538 0.081446 0.99105 21 0.90569 0.081179 0.99111 22 0.90652 0.080464 0.99126 23 0.90754 0.079589 0.99145 24 0.90864 0.078641 0.99165 25 0.90954 0.077868 0.99182 26 0.91006 0.077421 0.99191 27 0.91027 0.077239 0.99195 28 0.9102 0.077299 0.99194 29 0.90989 0.077564 0.99188 30 0.90943 0.077957 0.9918 Dati(1,11).t.ssglar_norm.mod(p,n).Mnpg n=500 p=30 Sparsità: 62.5% fit rms cod 1 0.95622 0.030967 0.99808 2 0.92971 0.049721 0.99506 3 0.90671 0.065996 0.9913 4 0.88668 0.080166 0.98716 5 0.86922 0.092515 0.9829 6 0.8621 0.09755 0.98098 7 0.86321 0.096765 0.98129 8 0.85979 0.099182 0.98034 9 0.85193 0.10475 0.97807 10 0.85249 0.10435 0.97824 11 0.85536 0.10232 0.97908 12 0.85756 0.10076 0.97971 13 0.86192 0.097681 0.98093 14 0.87023 0.091803 0.98316 15 0.87584 0.087832 0.98458 16 0.87607 0.08767 0.98464 17 0.87586 0.087819 0.98459 18 0.87757 0.086608 0.98501 19 0.87742 0.086713 0.98497 20 0.87586 0.087816 0.98459 21 0.87663 0.087276 0.98478 22 0.87849 0.085956 0.98524 23 0.8771 0.086941 0.9849 24 0.87377 0.089296 0.98407 25 0.87274 0.090028 0.9838 26 0.8725 0.090191 0.98374 27 0.87059 0.091545 0.98325 28 0.86972 0.092159 0.98303 29 0.87165 0.090794 0.98353 30 0.87271 0.090046 0.9838