Dati(1,1).t.sseh_yy_norm(p,n).Mnpf n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 47.8261% 69.5652% 60.8696% fit rms cod fit rms cod fit rms cod 1 0.91611 0.072057 0.99296 0.92524 0.064212 0.99441 0.92564 0.063874 0.99447 2 0.83511 0.14163 0.97281 0.84687 0.13153 0.97655 0.84656 0.1318 0.97646 3 0.75902 0.20699 0.94193 0.77417 0.19397 0.949 0.77308 0.19491 0.94851 4 0.68397 0.27145 0.90013 0.69894 0.2586 0.90936 0.697 0.26026 0.90819 5 0.59262 0.34992 0.83404 0.61629 0.32959 0.85277 0.61125 0.33392 0.84887 6 0.48646 0.44111 0.73627 0.52783 0.40557 0.77705 0.51494 0.41664 0.76472 7 0.36952 0.54156 0.60249 0.44154 0.47969 0.68813 0.41569 0.5019 0.65858 8 0.2429 0.65031 0.42681 0.35938 0.55027 0.5896 0.31663 0.58698 0.53301 9 0.10168 0.77161 0.19303 0.27033 0.62676 0.46758 0.20419 0.68356 0.36669 10 -0.051916 0.90354 -0.10653 0.1756 0.70812 0.32037 0.078398 0.79161 0.15065 11 -0.21727 1.0456 -0.48176 0.084755 0.78615 0.16233 -0.050923 0.90269 -0.10444 12 -0.39848 1.2012 -0.95575 0.0010103 0.85808 0.0020196 -0.17982 1.0134 -0.39196 13 -0.60014 1.3744 -1.5604 -0.078721 0.92657 -0.16364 -0.31307 1.1279 -0.72414 14 -0.82564 1.5681 -2.333 -0.15871 0.99528 -0.34261 -0.45719 1.2517 -1.1234 15 -1.0766 1.7837 -3.3124 -0.23481 1.0606 -0.52476 -0.60936 1.3824 -1.5901 16 -1.3571 2.0247 -4.556 -0.30356 1.1197 -0.69926 -0.76552 1.5165 -2.117 17 -1.6774 2.2998 -6.1686 -0.3691 1.176 -0.87442 -0.9318 1.6593 -2.7318 18 -2.0404 2.6115 -8.2438 -0.43299 1.2309 -1.0535 -1.1128 1.8148 -3.4639 19 -2.4505 2.9638 -10.906 -0.49315 1.2825 -1.2295 -1.3081 1.9825 -4.3272 20 -2.9128 3.3609 -14.3101 -0.54583 1.3278 -1.3896 -1.5134 2.1589 -5.317 21 -3.4393 3.8131 -18.7072 -0.59226 1.3677 -1.5353 -1.7311 2.3459 -6.459 22 -4.037 4.3266 -24.3716 -0.63473 1.4042 -1.6724 -1.9673 2.5488 -7.8049 23 -4.7167 4.9104 -31.6805 -0.67276 1.4368 -1.7981 -2.2236 2.769 -9.3919 24 -5.4871 5.5721 -41.0827 -0.70416 1.4638 -1.9042 -2.4975 3.0042 -11.2324 25 -6.3651 6.3263 -53.2453 -0.72943 1.4855 -1.9909 -2.7902 3.2556 -13.3659 26 -7.3594 7.1803 -68.8788 -0.74913 1.5024 -2.0594 -3.1056 3.5265 -15.8558 27 -8.4861 8.1481 -88.986 -0.76299 1.5143 -2.1081 -3.4454 3.8184 -18.762 28 -9.7615 9.2436 -114.8105 -0.77034 1.5206 -2.1341 -3.808 4.1298 -22.1166 29 -11.2102 10.488 -148.09 -0.7723 1.5223 -2.141 -4.1947 4.462 -25.9853 30 -12.8528 11.8989 -190.899 -0.77033 1.5206 -2.1341 -4.6097 4.8185 -30.4689 Spar_sim -787869454256175701614389568155916347649829209215336448 676741930517189184632889686248631472314074919795163136 -620738276949924181659289390096166667140390447126418526103893964451358147388374504089243706981066337492664320 -486477402295.5239 417860667912.239 -236660262945173916352512 -189863511015143459298398437376 163083615293177424019571343360 -36048152814997511008776436679707675436771259272898019328000 Dati(1,2).t.sseh_yy_norm(p,n).Mnpf n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 56.5217% 56.5217% 34.7826% fit rms cod fit rms cod fit rms cod 1 0.91872 0.069462 0.99339 0.92838 0.061205 0.99487 0.92938 0.060349 0.99501 2 0.88891 0.094931 0.98766 0.90208 0.083678 0.99041 0.90065 0.084902 0.99013 3 0.87143 0.10987 0.98347 0.88916 0.094718 0.98772 0.88617 0.097275 0.98704 4 0.85781 0.12151 0.97978 0.87942 0.10304 0.98546 0.87452 0.10724 0.98425 5 0.84697 0.13078 0.97658 0.87334 0.10824 0.98396 0.86526 0.11514 0.98185 6 0.8399 0.13682 0.97437 0.87057 0.11061 0.98325 0.85959 0.11999 0.98028 7 0.83444 0.14148 0.97259 0.86987 0.1112 0.98307 0.85612 0.12295 0.9793 8 0.83047 0.14487 0.97126 0.86969 0.11136 0.98302 0.85383 0.12491 0.97864 9 0.82661 0.14817 0.96994 0.8697 0.11135 0.98302 0.85204 0.12644 0.97811 10 0.82372 0.15064 0.96893 0.86978 0.11128 0.98304 0.85112 0.12723 0.97784 11 0.82154 0.1525 0.96815 0.86995 0.11114 0.98309 0.85045 0.1278 0.97764 12 0.81987 0.15393 0.96755 0.8701 0.11101 0.98313 0.84998 0.1282 0.97749 13 0.81829 0.15528 0.96698 0.87021 0.11092 0.98315 0.84937 0.12873 0.97731 14 0.81644 0.15687 0.9663 0.86987 0.1112 0.98307 0.84856 0.12942 0.97707 15 0.81408 0.15888 0.96544 0.86876 0.11216 0.98278 0.8471 0.13066 0.97662 16 0.81155 0.16104 0.96449 0.86692 0.11373 0.98229 0.84535 0.13216 0.97608 17 0.80884 0.16336 0.96346 0.86435 0.11592 0.9816 0.84297 0.13419 0.97534 18 0.80658 0.16529 0.96259 0.86223 0.11773 0.98102 0.84086 0.136 0.97467 19 0.80469 0.16691 0.96185 0.86065 0.11908 0.98058 0.83889 0.13768 0.97404 20 0.80309 0.16827 0.96123 0.85937 0.12018 0.98022 0.83728 0.13906 0.97352 21 0.80173 0.16943 0.96069 0.85871 0.12075 0.98004 0.83608 0.14008 0.97313 22 0.80041 0.17056 0.96016 0.85798 0.12137 0.97983 0.8349 0.14109 0.97274 23 0.79915 0.17164 0.95966 0.85741 0.12186 0.97967 0.83385 0.14199 0.97239 24 0.79809 0.17255 0.95923 0.85707 0.12214 0.97957 0.83311 0.14262 0.97215 25 0.79694 0.17353 0.95877 0.85643 0.12269 0.97939 0.83232 0.14329 0.97188 26 0.79606 0.17428 0.95841 0.85615 0.12293 0.97931 0.83182 0.14372 0.97172 27 0.79523 0.17499 0.95807 0.85579 0.12324 0.9792 0.8313 0.14417 0.97154 28 0.79443 0.17567 0.95774 0.8552 0.12374 0.97903 0.83078 0.14461 0.97136 29 0.79363 0.17635 0.95741 0.85417 0.12462 0.97873 0.83012 0.14517 0.97114 30 0.79299 0.17691 0.95715 0.8532 0.12545 0.97845 0.82955 0.14566 0.97095 Spar_sim 0.77416 0.193 0.949 0.77505 0.19223 0.9494 0.78345 0.18506 0.9531 Dati(1,3).t.sseh_yy_norm(p,n).Mnpf n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 56.5217% 43.4783% 43.4783% fit rms cod fit rms cod fit rms cod 1 0.94942 0.043354 0.99744 0.94903 0.043688 0.9974 0.94761 0.044906 0.99726 2 0.9234 0.065659 0.99413 0.92327 0.065771 0.99411 0.92276 0.066204 0.99403 3 0.90508 0.081357 0.99099 0.90689 0.079807 0.99133 0.90637 0.080257 0.99123 4 0.89002 0.094264 0.98791 0.89213 0.092456 0.98836 0.89363 0.091177 0.98868 5 0.87643 0.10591 0.98473 0.87916 0.10358 0.9854 0.882 0.10114 0.98608 6 0.866 0.11485 0.98205 0.86923 0.11209 0.9829 0.87284 0.10899 0.98383 7 0.8577 0.12197 0.97975 0.8612 0.11897 0.98074 0.86558 0.11521 0.98193 8 0.85114 0.12759 0.97784 0.85491 0.12436 0.97895 0.85994 0.12005 0.98038 9 0.84577 0.1322 0.97621 0.84999 0.12858 0.9775 0.85566 0.12372 0.97917 10 0.84187 0.13554 0.97499 0.84644 0.13162 0.97642 0.85261 0.12634 0.97827 11 0.83898 0.13802 0.97407 0.84382 0.13387 0.97561 0.85026 0.12835 0.97758 12 0.83688 0.13981 0.97339 0.84183 0.13557 0.97498 0.84834 0.12999 0.977 13 0.83506 0.14137 0.9728 0.83997 0.13717 0.97439 0.84639 0.13166 0.9764 14 0.83351 0.1427 0.97228 0.83827 0.13862 0.97384 0.84455 0.13324 0.97583 15 0.83219 0.14384 0.97184 0.83678 0.1399 0.97336 0.84297 0.13459 0.97534 16 0.83083 0.145 0.97138 0.83537 0.1411 0.9729 0.84151 0.13585 0.97488 17 0.8293 0.14632 0.97086 0.8339 0.14237 0.97241 0.83996 0.13718 0.97439 18 0.82781 0.14759 0.97035 0.83261 0.14347 0.97198 0.83864 0.1383 0.97396 19 0.82642 0.14878 0.96987 0.83161 0.14433 0.97164 0.83772 0.13909 0.97367 20 0.82517 0.14985 0.96943 0.83085 0.14498 0.97139 0.83716 0.13957 0.97348 21 0.82408 0.15079 0.96905 0.83029 0.14546 0.9712 0.83689 0.1398 0.9734 22 0.82316 0.15157 0.96873 0.82986 0.14583 0.97105 0.83673 0.13994 0.97334 23 0.82223 0.15238 0.9684 0.82932 0.14629 0.97087 0.83628 0.14033 0.9732 24 0.82131 0.15316 0.96807 0.82879 0.14675 0.97069 0.83575 0.14078 0.97302 25 0.8205 0.15385 0.96778 0.82839 0.14709 0.97055 0.83543 0.14106 0.97292 26 0.81988 0.15438 0.96756 0.82818 0.14727 0.97048 0.83534 0.14113 0.97289 27 0.81923 0.15494 0.96732 0.82791 0.14751 0.97038 0.83509 0.14135 0.97281 28 0.81867 0.15542 0.96712 0.82771 0.14767 0.97032 0.8349 0.14151 0.97274 29 0.81822 0.15581 0.96695 0.82758 0.14779 0.97027 0.83477 0.14162 0.9727 30 0.81788 0.1561 0.96683 0.8275 0.14785 0.97024 0.83474 0.14165 0.97269 Spar_sim 0.80844 0.16419 0.9633 0.81748 0.15644 0.96669 0.83003 0.14569 0.97111 Dati(1,4).t.sseh_yy_norm(p,n).Mnpf n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 60.8696% 65.2174% 65.2174% fit rms cod fit rms cod fit rms cod 1 0.94632 0.048348 0.99712 0.95229 0.042977 0.99772 0.95275 0.042557 0.99777 2 0.93662 0.057083 0.99598 0.9422 0.052063 0.99666 0.9425 0.051788 0.99669 3 0.93247 0.060824 0.99544 0.9374 0.056383 0.99608 0.93739 0.056392 0.99608 4 0.93047 0.062625 0.99517 0.93464 0.05887 0.99573 0.93446 0.05903 0.9957 5 0.92829 0.064591 0.99486 0.93314 0.060216 0.99553 0.93275 0.06057 0.99548 6 0.92748 0.065321 0.99474 0.9325 0.060795 0.99544 0.932 0.061245 0.99538 7 0.92633 0.066353 0.99457 0.93165 0.061567 0.99533 0.93104 0.062112 0.99524 8 0.92515 0.067421 0.9944 0.93088 0.062253 0.99522 0.93022 0.062851 0.99513 9 0.92376 0.068671 0.99419 0.92946 0.063538 0.99502 0.92882 0.064115 0.99493 10 0.92286 0.069476 0.99405 0.92858 0.064331 0.9949 0.92786 0.064973 0.9948 11 0.92206 0.070203 0.99393 0.9281 0.064759 0.99483 0.92722 0.065554 0.9947 12 0.92179 0.070442 0.99388 0.92824 0.064638 0.99485 0.92711 0.065649 0.99469 13 0.92157 0.070643 0.99385 0.92837 0.064514 0.99487 0.92702 0.065735 0.99467 14 0.92135 0.070843 0.99381 0.92848 0.064418 0.99488 0.92696 0.065791 0.99466 15 0.92121 0.070963 0.99379 0.92846 0.064432 0.99488 0.92697 0.065783 0.99467 16 0.92108 0.071084 0.99377 0.9285 0.064404 0.99489 0.92704 0.065717 0.99468 17 0.92078 0.071353 0.99372 0.92809 0.064769 0.99483 0.92658 0.066127 0.99461 18 0.92062 0.071499 0.9937 0.92802 0.064831 0.99482 0.92652 0.06618 0.9946 19 0.92051 0.071595 0.99368 0.92798 0.064868 0.99481 0.92655 0.066158 0.9946 20 0.92053 0.071581 0.99368 0.92801 0.064838 0.99482 0.92667 0.066052 0.99462 21 0.92056 0.071553 0.99369 0.92804 0.064813 0.99482 0.92677 0.065956 0.99464 22 0.92061 0.071511 0.9937 0.92808 0.06478 0.99483 0.92697 0.06578 0.99467 23 0.92062 0.071494 0.9937 0.9282 0.06467 0.99484 0.92733 0.065454 0.99472 24 0.92062 0.071495 0.9937 0.92825 0.064629 0.99485 0.92753 0.065277 0.99475 25 0.92059 0.071527 0.99369 0.92828 0.064598 0.99486 0.92758 0.06523 0.99476 26 0.92057 0.071542 0.99369 0.92836 0.064529 0.99487 0.9276 0.065206 0.99476 27 0.92057 0.071543 0.99369 0.92848 0.064422 0.99488 0.92777 0.065062 0.99478 28 0.92058 0.071533 0.99369 0.92848 0.064421 0.99488 0.92787 0.064963 0.9948 29 0.92059 0.071528 0.99369 0.92847 0.06443 0.99488 0.92786 0.064978 0.9948 30 0.92059 0.071523 0.99369 0.92845 0.064442 0.99488 0.92782 0.065009 0.99479 Spar_sim 0.89279 0.096562 0.98851 0.89743 0.092381 0.98948 0.89525 0.094351 0.98903 Dati(1,5).t.sseh_yy_norm(p,n).Mnpf n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 91.3043% 82.6087% 73.913% fit rms cod fit rms cod fit rms cod 1 0.9545 0.04321 0.99793 0.95412 0.043576 0.99789 0.95484 0.042891 0.99796 2 0.93889 0.058038 0.99627 0.94084 0.056188 0.9965 0.94064 0.056373 0.99648 3 0.92761 0.068754 0.99476 0.93054 0.065972 0.99517 0.93096 0.065571 0.99523 4 0.91694 0.078886 0.9931 0.92165 0.074417 0.99386 0.92083 0.075195 0.99373 5 0.9001 0.094884 0.99002 0.90859 0.08682 0.99164 0.90779 0.087579 0.9915 6 0.88653 0.10776 0.98713 0.89659 0.09821 0.98931 0.89675 0.098062 0.98934 7 0.8748 0.11891 0.98433 0.8868 0.10751 0.98719 0.88657 0.10773 0.98713 8 0.86421 0.12896 0.98156 0.87725 0.11658 0.98493 0.87671 0.11709 0.9848 9 0.85197 0.14059 0.97809 0.86601 0.12725 0.98205 0.86592 0.12734 0.98202 10 0.84098 0.15102 0.97471 0.85589 0.13687 0.97923 0.85597 0.13679 0.97926 11 0.83101 0.1605 0.97144 0.84652 0.14577 0.97644 0.84646 0.14582 0.97643 12 0.82112 0.16989 0.968 0.83671 0.15508 0.97334 0.83688 0.15493 0.97339 13 0.81034 0.18013 0.96403 0.82595 0.1653 0.96971 0.82638 0.16489 0.96986 14 0.8 0.18995 0.96 0.81579 0.17495 0.96607 0.81638 0.17439 0.96628 15 0.78995 0.19949 0.95588 0.80595 0.18429 0.96235 0.80661 0.18367 0.9626 16 0.7807 0.20828 0.95191 0.79667 0.19311 0.95866 0.79762 0.19221 0.95904 17 0.7708 0.21768 0.94747 0.78671 0.20257 0.95451 0.78781 0.20152 0.95498 18 0.76139 0.22662 0.94307 0.77732 0.21149 0.95042 0.77854 0.21033 0.95096 19 0.75233 0.23522 0.93866 0.76821 0.22014 0.94627 0.76961 0.21882 0.94692 20 0.74368 0.24344 0.9343 0.75945 0.22846 0.94213 0.76105 0.22694 0.9429 21 0.73479 0.25189 0.92966 0.75035 0.23711 0.93767 0.75204 0.2355 0.93852 22 0.72631 0.25994 0.92509 0.74155 0.24546 0.9332 0.7434 0.24371 0.93416 23 0.71815 0.26769 0.92056 0.73307 0.25351 0.92875 0.73509 0.2516 0.92982 24 0.71053 0.27493 0.9162 0.72512 0.26106 0.92444 0.72725 0.25904 0.92561 25 0.7028 0.28227 0.91167 0.7168 0.26897 0.9198 0.71903 0.26685 0.92106 26 0.69523 0.28946 0.90711 0.70853 0.27683 0.91504 0.71096 0.27451 0.91646 27 0.68802 0.2963 0.90267 0.70068 0.28428 0.91041 0.70325 0.28184 0.91194 28 0.68119 0.30279 0.89836 0.69318 0.29141 0.90586 0.69584 0.28888 0.90749 29 0.67412 0.3095 0.89381 0.68526 0.29892 0.90094 0.68805 0.29627 0.90269 30 0.66742 0.31587 0.88939 0.67778 0.30602 0.89618 0.68069 0.30327 0.89804 Spar_sim 0.38926 0.58005 0.62699 0.2701 0.69322 0.46724 0.2213 0.73957 0.39362 Dati(1,6).t.sseh_yy_norm(p,n).Mnpf n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 60.8696% 56.5217% 52.1739% fit rms cod fit rms cod fit rms cod 1 0.92459 0.064611 0.99431 0.92494 0.064316 0.99437 0.92884 0.060974 0.99494 2 0.86371 0.11678 0.98142 0.86461 0.11601 0.98167 0.87182 0.10983 0.98357 3 0.82591 0.14917 0.96969 0.82359 0.15115 0.96888 0.83209 0.14387 0.97181 4 0.79875 0.17244 0.9595 0.7921 0.17814 0.95678 0.80066 0.1708 0.96026 5 0.77677 0.19128 0.95017 0.76739 0.19931 0.94589 0.77551 0.19235 0.94961 6 0.76131 0.20452 0.94303 0.74864 0.21538 0.93682 0.75593 0.20913 0.94043 7 0.75197 0.21252 0.93848 0.73719 0.22519 0.93093 0.74327 0.21998 0.93409 8 0.74564 0.21795 0.9353 0.72904 0.23217 0.92658 0.73369 0.22819 0.92908 9 0.74098 0.22194 0.93291 0.72388 0.23659 0.92376 0.72698 0.23394 0.92546 10 0.73873 0.22387 0.93174 0.72121 0.23888 0.92228 0.7231 0.23726 0.92333 11 0.73764 0.2248 0.93117 0.72016 0.23978 0.92169 0.72098 0.23908 0.92215 12 0.73777 0.22469 0.93123 0.7207 0.23932 0.92199 0.71984 0.24005 0.92151 13 0.73832 0.22422 0.93153 0.72193 0.23826 0.92268 0.7192 0.24061 0.92115 14 0.73889 0.22373 0.93182 0.72359 0.23684 0.9236 0.71875 0.24099 0.9209 15 0.739 0.22363 0.93188 0.72499 0.23564 0.92437 0.71808 0.24157 0.92052 16 0.73876 0.22385 0.93175 0.72604 0.23474 0.92495 0.71723 0.24229 0.92004 17 0.73797 0.22452 0.93134 0.72645 0.23439 0.92517 0.71613 0.24323 0.91942 18 0.73708 0.22529 0.93087 0.72649 0.23435 0.92519 0.71495 0.24425 0.91874 19 0.73637 0.22589 0.9305 0.72678 0.23411 0.92535 0.71391 0.24514 0.91815 20 0.73596 0.22624 0.93028 0.72707 0.23386 0.92551 0.71295 0.24596 0.9176 21 0.73552 0.22662 0.93005 0.72725 0.2337 0.92561 0.71216 0.24664 0.91715 22 0.73499 0.22707 0.92977 0.72712 0.23382 0.92554 0.71142 0.24727 0.91672 23 0.73457 0.22743 0.92955 0.72701 0.23391 0.92548 0.71087 0.24774 0.9164 24 0.73429 0.22767 0.9294 0.72695 0.23396 0.92545 0.71047 0.24809 0.91617 25 0.73399 0.22793 0.92924 0.72671 0.23417 0.92531 0.71005 0.24844 0.91593 26 0.73375 0.22814 0.92911 0.7265 0.23435 0.9252 0.70971 0.24873 0.91573 27 0.7335 0.22835 0.92898 0.72622 0.23459 0.92504 0.7094 0.249 0.91555 28 0.7333 0.22852 0.92887 0.72597 0.2348 0.92491 0.70917 0.2492 0.91542 29 0.73312 0.22868 0.92877 0.72568 0.23505 0.92475 0.70895 0.24938 0.91529 30 0.73297 0.2288 0.9287 0.72533 0.23535 0.92455 0.70875 0.24955 0.91518 Spar_sim 0.72104 0.23903 0.92218 0.71165 0.24707 0.91686 0.69385 0.26233 0.90627 Dati(1,7).t.sseh_yy_norm(p,n).Mnpf n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 47.8261% 56.5217% 47.8261% fit rms cod fit rms cod fit rms cod 1 0.94845 0.044929 0.99734 0.9488 0.044625 0.99738 0.94894 0.044497 0.99739 2 0.93298 0.058413 0.99551 0.93547 0.056239 0.99584 0.93561 0.056121 0.99585 3 0.92441 0.065879 0.99429 0.92678 0.063815 0.99464 0.92685 0.063755 0.99465 4 0.91747 0.07193 0.99319 0.9204 0.069372 0.99366 0.92058 0.069215 0.99369 5 0.91245 0.076302 0.99234 0.91593 0.073266 0.99293 0.91634 0.072914 0.993 6 0.90861 0.079653 0.99165 0.91139 0.077228 0.99215 0.91206 0.076647 0.99227 7 0.90554 0.082324 0.99108 0.90821 0.08 0.99157 0.9092 0.079133 0.99176 8 0.90265 0.084849 0.99052 0.90515 0.082663 0.991 0.9063 0.081666 0.99122 9 0.89975 0.087367 0.98995 0.90205 0.085365 0.99041 0.90294 0.084587 0.99058 10 0.89738 0.089437 0.98947 0.89851 0.088453 0.9897 0.89914 0.0879 0.98983 11 0.89523 0.091309 0.98902 0.89573 0.090875 0.98913 0.89636 0.090323 0.98926 12 0.89352 0.092804 0.98866 0.8931 0.093167 0.98857 0.89401 0.092373 0.98877 13 0.8923 0.093863 0.9884 0.89149 0.094574 0.98822 0.89265 0.093557 0.98848 14 0.89122 0.094804 0.98817 0.88981 0.096037 0.98786 0.89142 0.094629 0.98821 15 0.89046 0.095465 0.988 0.88874 0.096966 0.98762 0.89066 0.095295 0.98804 16 0.88971 0.096126 0.98784 0.88738 0.098152 0.98732 0.88972 0.096111 0.98784 17 0.88897 0.096768 0.98767 0.88613 0.09924 0.98703 0.8888 0.096914 0.98763 18 0.88843 0.097234 0.98755 0.88526 0.099997 0.98684 0.88817 0.097465 0.98749 19 0.88801 0.097603 0.98746 0.88457 0.1006 0.98668 0.88773 0.097845 0.9874 20 0.88768 0.097895 0.98738 0.88366 0.10139 0.98647 0.88722 0.09829 0.98728 21 0.88741 0.098126 0.98732 0.88279 0.10215 0.98626 0.8868 0.098656 0.98719 22 0.88719 0.098319 0.98727 0.88209 0.10276 0.9861 0.88654 0.098882 0.98713 23 0.88703 0.098461 0.98724 0.88154 0.10325 0.98597 0.8864 0.099004 0.9871 24 0.88692 0.098557 0.98721 0.88125 0.1035 0.9859 0.88643 0.098981 0.9871 25 0.88678 0.098677 0.98718 0.8805 0.10414 0.98572 0.88623 0.099154 0.98706 26 0.88668 0.09876 0.98716 0.87986 0.10471 0.98557 0.88613 0.099245 0.98703 27 0.8866 0.098832 0.98714 0.87906 0.1054 0.98537 0.88597 0.099382 0.987 28 0.88655 0.09888 0.98713 0.87839 0.10599 0.98521 0.88589 0.09945 0.98698 29 0.88649 0.098924 0.98712 0.87771 0.10658 0.98505 0.88582 0.099509 0.98696 30 0.88645 0.098961 0.98711 0.87698 0.10722 0.98487 0.88574 0.099583 0.98694 Spar_sim 0.88192 0.10291 0.98606 0.85806 0.1237 0.97985 0.87656 0.10759 0.98476 Dati(1,8).t.sseh_yy_norm(p,n).Mnpf n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 65.2174% 65.2174% 47.8261% fit rms cod fit rms cod fit rms cod 1 0.93647 0.065399 0.99596 0.9382 0.063621 0.99618 0.93851 0.063305 0.99622 2 0.89042 0.11281 0.98799 0.89429 0.10883 0.98882 0.89237 0.1108 0.98842 3 0.84951 0.15492 0.97735 0.85639 0.14784 0.97938 0.85124 0.15314 0.97787 4 0.81547 0.18996 0.96595 0.82592 0.17921 0.9697 0.81581 0.18961 0.96608 5 0.78764 0.21861 0.9549 0.80212 0.20371 0.96084 0.78625 0.22005 0.95431 6 0.76753 0.23931 0.94596 0.78634 0.21995 0.95435 0.76456 0.24238 0.94457 7 0.75411 0.25313 0.93954 0.77725 0.22931 0.95038 0.7503 0.25706 0.93765 8 0.74411 0.26343 0.93452 0.77164 0.23508 0.94785 0.74031 0.26734 0.93256 9 0.73562 0.27217 0.9301 0.76768 0.23917 0.94603 0.73259 0.27528 0.92849 10 0.72898 0.279 0.92655 0.76536 0.24155 0.94494 0.72737 0.28066 0.92567 11 0.72359 0.28455 0.9236 0.76399 0.24296 0.9443 0.72391 0.28422 0.92377 12 0.71896 0.28932 0.92101 0.76305 0.24392 0.94386 0.72145 0.28676 0.92241 13 0.71483 0.29357 0.91868 0.76233 0.24467 0.94351 0.71963 0.28863 0.92139 14 0.71089 0.29762 0.91642 0.76163 0.24539 0.94318 0.71789 0.29042 0.92041 15 0.70719 0.30143 0.91426 0.76099 0.24605 0.94287 0.71625 0.29211 0.91948 16 0.7041 0.30461 0.91244 0.76055 0.2465 0.94266 0.71521 0.29318 0.9189 17 0.70108 0.30772 0.91065 0.76013 0.24693 0.94246 0.71404 0.29438 0.91823 18 0.69821 0.31067 0.90893 0.75975 0.24733 0.94228 0.71271 0.29575 0.91746 19 0.6958 0.31315 0.90746 0.75948 0.24761 0.94215 0.71168 0.29681 0.91687 20 0.69377 0.31525 0.90623 0.75928 0.24781 0.94205 0.71085 0.29767 0.91639 21 0.69192 0.31715 0.90509 0.75911 0.24798 0.94197 0.70992 0.29862 0.91585 22 0.69041 0.31871 0.90415 0.75901 0.24808 0.94193 0.70931 0.29925 0.9155 23 0.68908 0.32008 0.90333 0.75894 0.24816 0.94189 0.70879 0.29979 0.91519 24 0.68783 0.32136 0.90255 0.75888 0.24822 0.94186 0.70815 0.30044 0.91482 25 0.68669 0.32254 0.90184 0.75883 0.24827 0.94184 0.70757 0.30104 0.91449 26 0.68575 0.32351 0.90125 0.7588 0.2483 0.94182 0.70732 0.3013 0.91434 27 0.68498 0.32429 0.90076 0.75879 0.24831 0.94182 0.70731 0.30131 0.91433 28 0.68429 0.32501 0.90033 0.75878 0.24832 0.94181 0.70722 0.3014 0.91428 29 0.68367 0.32564 0.89994 0.75878 0.24833 0.94181 0.70712 0.3015 0.91422 30 0.68309 0.32624 0.89957 0.75877 0.24834 0.94181 0.70686 0.30177 0.91407 Spar_sim 0.66017 0.34983 0.88452 0.752 0.2553 0.9385 0.66654 0.34328 0.8888