Dati(1,1).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 68.75% fit rms cod 1 0.93997 0.041137 0.9964 2 0.89797 0.06992 0.98959 3 0.86808 0.0904 0.9826 4 0.84698 0.10486 0.97659 5 0.8343 0.11355 0.97254 6 0.82146 0.12235 0.96812 7 0.8147 0.12698 0.96566 8 0.81356 0.12776 0.96524 9 0.81137 0.12926 0.96442 10 0.80876 0.13106 0.96343 11 0.80164 0.13594 0.96065 12 0.78567 0.14687 0.95406 13 0.77149 0.15659 0.94778 14 0.76058 0.16407 0.94268 15 0.75073 0.17082 0.93786 16 0.74059 0.17777 0.9327 17 0.72789 0.18647 0.92595 18 0.71693 0.19398 0.91987 19 0.70747 0.20047 0.91442 20 0.69685 0.20775 0.9081 21 0.6852 0.21573 0.9009 22 0.67186 0.22487 0.89232 23 0.65761 0.23464 0.88277 24 0.64587 0.24268 0.87459 25 0.63549 0.24979 0.86713 26 0.62509 0.25692 0.85944 27 0.61343 0.26491 0.85057 28 0.60037 0.27386 0.8403 29 0.58753 0.28265 0.82987 30 0.57459 0.29152 0.81903 Dati(1,2).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 25% fit rms cod 1 0.927 0.055989 0.99467 2 0.91539 0.064893 0.99284 3 0.90728 0.071115 0.9914 4 0.90584 0.072224 0.99113 5 0.86826 0.10104 0.98265 6 0.85374 0.11218 0.97861 7 0.84634 0.11786 0.97639 8 0.84576 0.1183 0.97621 9 0.825 0.13422 0.96938 10 0.81301 0.14342 0.96504 11 0.80674 0.14823 0.96265 12 0.80632 0.14855 0.96249 13 0.79522 0.15706 0.95807 14 0.78653 0.16373 0.95443 15 0.78136 0.1677 0.9522 16 0.78076 0.16816 0.95193 17 0.77467 0.17283 0.94923 18 0.7687 0.17741 0.9465 19 0.76463 0.18053 0.9446 20 0.76385 0.18112 0.94423 21 0.76055 0.18366 0.94266 22 0.7567 0.18661 0.94081 23 0.75374 0.18888 0.93936 24 0.75294 0.1895 0.93896 25 0.7512 0.19083 0.9381 26 0.74892 0.19258 0.93696 27 0.74692 0.19411 0.93595 28 0.74619 0.19467 0.93558 29 0.74521 0.19543 0.93508 30 0.74382 0.19649 0.93437 Dati(1,3).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 59.375% fit rms cod 1 0.88874 0.09476 0.98762 2 0.77745 0.18955 0.95047 3 0.6952 0.25961 0.90709 4 0.66041 0.28924 0.88468 5 0.64422 0.30303 0.87342 6 0.63373 0.31197 0.86584 7 0.6233 0.32085 0.8581 8 0.61698 0.32623 0.85329 9 0.61498 0.32794 0.85176 10 0.61575 0.32728 0.85235 11 0.61682 0.32636 0.85317 12 0.61743 0.32585 0.85364 13 0.61768 0.32563 0.85383 14 0.61795 0.32541 0.85403 15 0.61825 0.32515 0.85427 16 0.61851 0.32493 0.85446 17 0.61864 0.32481 0.85457 18 0.6187 0.32477 0.85461 19 0.61871 0.32475 0.85462 20 0.61872 0.32474 0.85463 21 0.61873 0.32474 0.85463 22 0.61874 0.32473 0.85464 23 0.61873 0.32474 0.85464 24 0.61873 0.32474 0.85463 25 0.61873 0.32474 0.85463 26 0.61873 0.32474 0.85463 27 0.61873 0.32474 0.85463 28 0.61873 0.32474 0.85463 29 0.61873 0.32474 0.85463 30 0.61873 0.32474 0.85463 Dati(1,4).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 46.875% fit rms cod 1 0.91989 0.063952 0.99358 2 0.86121 0.1108 0.98074 3 0.81759 0.14563 0.96673 4 0.79035 0.16737 0.95605 5 0.75809 0.19313 0.94148 6 0.72536 0.21926 0.92457 7 0.69424 0.2441 0.90651 8 0.66792 0.26512 0.88972 9 0.64392 0.28427 0.87321 10 0.62163 0.30207 0.85684 11 0.60084 0.31867 0.84067 12 0.58199 0.33371 0.82527 13 0.56491 0.34735 0.81069 14 0.54935 0.35977 0.79692 15 0.53508 0.37117 0.78385 16 0.52199 0.38162 0.77151 17 0.51001 0.39118 0.75991 18 0.49913 0.39987 0.74913 19 0.48923 0.40777 0.73911 20 0.48026 0.41494 0.72987 21 0.47211 0.42144 0.72133 22 0.46477 0.42729 0.71353 23 0.45824 0.43251 0.70649 24 0.45238 0.43719 0.70012 25 0.44711 0.4414 0.69431 26 0.44239 0.44516 0.68908 27 0.4382 0.44851 0.68438 28 0.43449 0.45147 0.6802 29 0.43118 0.45412 0.67644 30 0.42823 0.45647 0.67308 Dati(1,5).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 34.375% fit rms cod 1 0.8954 0.081699 0.98906 2 0.86104 0.10853 0.98069 3 0.84084 0.12431 0.97467 4 0.80946 0.14881 0.9637 5 0.78286 0.16959 0.95285 6 0.7734 0.17698 0.94865 7 0.76477 0.18372 0.94467 8 0.756 0.19057 0.94047 9 0.75175 0.19389 0.93837 10 0.75007 0.1952 0.93754 11 0.74816 0.1967 0.93658 12 0.74692 0.19766 0.93595 13 0.74663 0.19789 0.9358 14 0.74645 0.19803 0.93571 15 0.74622 0.19821 0.9356 16 0.74619 0.19823 0.93558 17 0.74624 0.1982 0.9356 18 0.74624 0.19819 0.93561 19 0.74625 0.19819 0.93561 20 0.74628 0.19817 0.93562 21 0.7463 0.19815 0.93563 22 0.7463 0.19814 0.93564 23 0.74631 0.19814 0.93564 24 0.74632 0.19813 0.93565 25 0.74632 0.19813 0.93565 26 0.74632 0.19813 0.93565 27 0.74633 0.19813 0.93565 28 0.74633 0.19813 0.93565 29 0.74633 0.19813 0.93565 30 0.74633 0.19813 0.93565 Dati(1,6).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 21.875% fit rms cod 1 0.90309 0.078163 0.99061 2 0.84386 0.12594 0.97562 3 0.80157 0.16005 0.96063 4 0.77708 0.17981 0.95031 5 0.74993 0.20171 0.93746 6 0.72705 0.22016 0.9255 7 0.71101 0.2331 0.91648 8 0.70254 0.23993 0.91151 9 0.69772 0.24382 0.90863 10 0.69482 0.24616 0.90686 11 0.69333 0.24736 0.90595 12 0.6933 0.24738 0.90593 13 0.69417 0.24668 0.90647 14 0.69537 0.24572 0.9072 15 0.69655 0.24477 0.90792 16 0.69764 0.24388 0.90858 17 0.69864 0.24308 0.90918 18 0.69948 0.2424 0.90969 19 0.70014 0.24187 0.91008 20 0.70062 0.24148 0.91037 21 0.70095 0.24121 0.91057 22 0.70118 0.24103 0.9107 23 0.70131 0.24092 0.91079 24 0.70139 0.24086 0.91083 25 0.70141 0.24084 0.91085 26 0.70142 0.24084 0.91085 27 0.7014 0.24085 0.91084 28 0.70138 0.24087 0.91083 29 0.70136 0.24089 0.91081 30 0.70133 0.2409 0.9108 Dati(1,7).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 37.5% fit rms cod 1 0.93418 0.051361 0.99567 2 0.87228 0.099657 0.98369 3 0.82727 0.13478 0.97016 4 0.79784 0.15775 0.95913 5 0.78307 0.16927 0.95294 6 0.77804 0.1732 0.95073 7 0.77796 0.17326 0.9507 8 0.77975 0.17186 0.95149 9 0.78169 0.17035 0.95234 10 0.7831 0.16925 0.95295 11 0.78387 0.16865 0.95329 12 0.78417 0.16841 0.95342 13 0.78421 0.16838 0.95344 14 0.78414 0.16844 0.95341 15 0.78405 0.1685 0.95337 16 0.78399 0.16856 0.95334 17 0.78394 0.16859 0.95332 18 0.78393 0.1686 0.95331 19 0.78392 0.16861 0.95331 20 0.78392 0.16861 0.95331 21 0.78393 0.1686 0.95331 22 0.78393 0.1686 0.95331 23 0.78393 0.1686 0.95331 24 0.78393 0.1686 0.95331 25 0.78393 0.1686 0.95331 26 0.78393 0.1686 0.95331 27 0.78393 0.1686 0.95331 28 0.78393 0.1686 0.95331 29 0.78393 0.1686 0.95331 30 0.78393 0.1686 0.95331 Dati(1,8).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 40.625% fit rms cod 1 0.96384 0.028572 0.99869 2 0.95629 0.034542 0.99809 3 0.95211 0.037841 0.99771 4 0.95006 0.039467 0.99751 5 0.93838 0.048695 0.9962 6 0.93415 0.052034 0.99566 7 0.93082 0.054668 0.99521 8 0.92899 0.056115 0.99496 9 0.92274 0.061055 0.99403 10 0.92036 0.062929 0.99366 11 0.91842 0.064466 0.99334 12 0.91743 0.065247 0.99318 13 0.91464 0.067457 0.99271 14 0.91345 0.06839 0.99251 15 0.91216 0.069415 0.99228 16 0.91138 0.070027 0.99215 17 0.90966 0.071389 0.99184 18 0.90886 0.072017 0.99169 19 0.90803 0.072678 0.99154 20 0.90754 0.073066 0.99145 21 0.90664 0.073775 0.99128 22 0.90625 0.074085 0.99121 23 0.90589 0.07437 0.99114 24 0.90568 0.074531 0.9911 25 0.90531 0.074827 0.99103 26 0.90516 0.074942 0.99101 27 0.90509 0.075 0.99099 28 0.90506 0.075023 0.99099 29 0.90499 0.075081 0.99097 30 0.90498 0.075085 0.99097 Dati(1,9).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 71.875% fit rms cod 1 0.87826 0.1187 0.98518 2 0.76365 0.23045 0.94414 3 0.65349 0.33786 0.87993 4 0.56107 0.42797 0.80734 5 0.4797 0.50732 0.72928 6 0.41216 0.57317 0.65445 7 0.36211 0.62197 0.59309 8 0.32916 0.65409 0.54998 9 0.3097 0.67307 0.52349 10 0.30043 0.68211 0.51061 11 0.29799 0.68449 0.50718 12 0.29977 0.68275 0.50968 13 0.30363 0.67899 0.51507 14 0.30805 0.67468 0.52121 15 0.31232 0.67052 0.5271 16 0.31598 0.66695 0.53211 17 0.31883 0.66417 0.53601 18 0.32084 0.66221 0.53874 19 0.32221 0.66087 0.5406 20 0.32305 0.66005 0.54175 21 0.32351 0.65961 0.54236 22 0.32369 0.65943 0.5426 23 0.3237 0.65942 0.54262 24 0.32362 0.6595 0.54251 25 0.3235 0.65961 0.54235 26 0.32338 0.65973 0.54218 27 0.32327 0.65984 0.54204 28 0.32318 0.65992 0.54192 29 0.32312 0.65998 0.54184 30 0.32309 0.66002 0.54179 Dati(1,10).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 46.875% fit rms cod 1 0.89636 0.089208 0.98926 2 0.83577 0.14137 0.97303 3 0.7683 0.19945 0.94631 4 0.7108 0.24894 0.91636 5 0.67146 0.2828 0.89206 6 0.64252 0.30771 0.87221 7 0.62964 0.31879 0.86284 8 0.6308 0.3178 0.86369 9 0.64221 0.30797 0.87199 10 0.66115 0.29167 0.88518 11 0.68317 0.27272 0.89962 12 0.70471 0.25418 0.91281 13 0.72318 0.23828 0.92337 14 0.737 0.22638 0.93083 15 0.74601 0.21863 0.93549 16 0.75074 0.21455 0.93787 17 0.7523 0.21322 0.93864 18 0.75161 0.2138 0.9383 19 0.74939 0.21572 0.93719 20 0.74618 0.21848 0.93557 21 0.7424 0.22173 0.93364 22 0.73853 0.22507 0.93163 23 0.73498 0.22812 0.92977 24 0.73203 0.23066 0.92819 25 0.72991 0.23249 0.92705 26 0.72874 0.23349 0.92642 27 0.72845 0.23374 0.92626 28 0.72884 0.23341 0.92647 29 0.72965 0.23271 0.92691 30 0.73061 0.23188 0.92743 Dati(1,11).t.ssglar.mod(p,n).Mnpg n=500 p=30 Sparsità: 68.75% fit rms cod 1 0.94341 0.040033 0.9968 2 0.90099 0.070041 0.9902 3 0.86206 0.097579 0.98097 4 0.82794 0.12172 0.97039 5 0.7978 0.14304 0.95912 6 0.78512 0.15201 0.95383 7 0.78646 0.15106 0.9544 8 0.7814 0.15464 0.95222 9 0.76937 0.16315 0.94681 10 0.77046 0.16238 0.94731 11 0.77598 0.15848 0.94981 12 0.78014 0.15553 0.95166 13 0.78817 0.14985 0.95513 14 0.80369 0.13887 0.96146 15 0.81485 0.13097 0.96572 16 0.81596 0.13019 0.96613 17 0.81565 0.13041 0.96602 18 0.8182 0.12861 0.96695 19 0.81747 0.12912 0.96668 20 0.81432 0.13135 0.96552 21 0.81488 0.13096 0.96573 22 0.81734 0.12921 0.96664 23 0.8153 0.13066 0.96588 24 0.81051 0.13405 0.96409 25 0.80879 0.13526 0.96344 26 0.80828 0.13562 0.96324 27 0.80556 0.13755 0.96219 28 0.80432 0.13843 0.96171 29 0.80719 0.1364 0.96282 30 0.80903 0.13509 0.96353