Dati(1,1).t.sseh_norm(p,n).Mnpf n=500 p=25 Sparsit�: 41.6667% fit rms cod 1 0.92429 0.065282 0.99427 2 0.84878 0.13039 0.97713 3 0.78253 0.1875 0.95271 4 0.71891 0.24236 0.92099 5 0.64772 0.30374 0.8759 6 0.57074 0.37011 0.81573 7 0.49665 0.43399 0.74664 8 0.42892 0.49239 0.67386 9 0.35741 0.55404 0.58708 10 0.284 0.61734 0.48734 11 0.21772 0.67449 0.38803 12 0.16136 0.72308 0.29668 13 0.11167 0.76592 0.21087 14 0.065729 0.80553 0.12714 15 0.027223 0.83873 0.053705 16 -0.0025377 0.86439 -0.0050818 17 -0.027136 0.8856 -0.055009 18 -0.047628 0.90327 -0.097524 19 -0.063576 0.91702 -0.13119 20 -0.074031 0.92603 -0.15354 21 -0.081122 0.93215 -0.16883 22 -0.085965 0.93632 -0.17932 23 -0.088909 0.93886 -0.18572 24 -0.089999 0.9398 -0.1881 25 -0.090148 0.93993 -0.18842 26 -0.089576 0.93943 -0.18718 27 -0.088494 0.9385 -0.18482 28 -0.087343 0.93751 -0.18231 29 -0.08643 0.93672 -0.18033 30 -0.085501 0.93592 -0.17831 Spar_sim -0.08689 0.93712 -0.18133 Dati(1,2).t.sseh_norm(p,n).Mnpf n=500 p=25 Sparsit�: 50% fit rms cod 1 0.92407 0.064133 0.99423 2 0.89584 0.087973 0.98915 3 0.88241 0.09932 0.98617 4 0.87373 0.10665 0.98406 5 0.86766 0.11178 0.98249 6 0.86517 0.11388 0.98182 7 0.86538 0.1137 0.98188 8 0.86596 0.11321 0.98203 9 0.86615 0.11306 0.98208 10 0.86643 0.11281 0.98216 11 0.86702 0.11232 0.98232 12 0.8677 0.11174 0.9825 13 0.86827 0.11126 0.98265 14 0.86817 0.11135 0.98262 15 0.86722 0.11215 0.98237 16 0.86581 0.11334 0.98199 17 0.86378 0.11505 0.98144 18 0.86229 0.11631 0.98104 19 0.86132 0.11713 0.98077 20 0.86049 0.11784 0.98054 21 0.86038 0.11793 0.98051 22 0.85977 0.11844 0.98033 23 0.85897 0.11912 0.98011 24 0.85822 0.11975 0.9799 25 0.85687 0.12089 0.97951 26 0.85617 0.12148 0.97931 27 0.85543 0.12211 0.9791 28 0.85471 0.12272 0.97889 29 0.85366 0.1236 0.97858 30 0.85304 0.12412 0.9784 Spar_sim 0.85205 0.12496 0.97811 Dati(1,3).t.sseh_norm(p,n).Mnpf n=500 p=25 Sparsit�: 58.3333% fit rms cod 1 0.95355 0.040918 0.99784 2 0.92791 0.063511 0.9948 3 0.91231 0.077248 0.99231 4 0.89885 0.089108 0.98977 5 0.88604 0.10039 0.98701 6 0.87606 0.10919 0.98464 7 0.86813 0.11617 0.98261 8 0.86192 0.12164 0.98093 9 0.85642 0.12649 0.97938 10 0.85247 0.12997 0.97823 11 0.84993 0.13221 0.97748 12 0.84859 0.13338 0.97708 13 0.84722 0.13459 0.97666 14 0.84601 0.13565 0.97629 15 0.8454 0.13619 0.9761 16 0.84505 0.1365 0.97599 17 0.84439 0.13709 0.97578 18 0.8436 0.13778 0.97554 19 0.84274 0.13853 0.97527 20 0.84212 0.13908 0.97507 21 0.84191 0.13927 0.97501 22 0.8419 0.13927 0.97501 23 0.84172 0.13943 0.97495 24 0.84156 0.13958 0.9749 25 0.8415 0.13963 0.97488 26 0.84162 0.13952 0.97492 27 0.84146 0.13967 0.97486 28 0.8414 0.13971 0.97485 29 0.84151 0.13962 0.97488 30 0.84172 0.13943 0.97495 Spar_sim 0.84273 0.13854 0.97527 Dati(1,4).t.sseh_norm(p,n).Mnpf n=500 p=25 Sparsit�: 58.3333% fit rms cod 1 0.94754 0.045277 0.99725 2 0.93458 0.05646 0.99572 3 0.92794 0.062191 0.99481 4 0.92223 0.067125 0.99395 5 0.91821 0.070594 0.99331 6 0.91588 0.072602 0.99292 7 0.91329 0.074839 0.99248 8 0.90985 0.077805 0.99187 9 0.90565 0.081435 0.9911 10 0.90199 0.084591 0.99039 11 0.8982 0.087865 0.98964 12 0.89536 0.09031 0.98905 13 0.89268 0.092624 0.98848 14 0.88959 0.095294 0.98781 15 0.88711 0.097429 0.98726 16 0.88474 0.099477 0.98672 17 0.88103 0.10268 0.98585 18 0.87808 0.10522 0.98514 19 0.87554 0.10742 0.98451 20 0.87357 0.10912 0.98401 21 0.87146 0.11094 0.98348 22 0.86974 0.11243 0.98303 23 0.86838 0.1136 0.98268 24 0.86673 0.11502 0.98224 25 0.86502 0.1165 0.98178 26 0.86356 0.11776 0.98138 27 0.86253 0.11865 0.9811 28 0.86173 0.11934 0.98088 29 0.86088 0.12007 0.98065 30 0.8602 0.12066 0.98046 Spar_sim 0.84874 0.13055 0.97712 Dati(1,5).t.sseh_norm(p,n).Mnpf n=500 p=25 Sparsit�: 0% fit rms cod 1 0.95137 0.048491 0.99763 2 0.93066 0.069142 0.99519 3 0.91246 0.087292 0.99234 4 0.89186 0.10782 0.98831 5 0.86734 0.13228 0.9824 6 0.84487 0.15468 0.97593 7 0.824 0.17549 0.96903 8 0.80475 0.19469 0.96188 9 0.78409 0.21529 0.95338 10 0.76484 0.23448 0.9447 11 0.74664 0.25263 0.93581 12 0.72834 0.27088 0.9262 13 0.70856 0.2906 0.91506 14 0.68836 0.31074 0.90288 15 0.66766 0.33139 0.88955 16 0.64804 0.35095 0.87612 17 0.62676 0.37216 0.86069 18 0.60556 0.3933 0.84442 19 0.58448 0.41432 0.82734 20 0.56391 0.43483 0.80983 21 0.54255 0.45613 0.79074 22 0.52139 0.47723 0.77093 23 0.50039 0.49817 0.75039 24 0.48044 0.51806 0.73006 25 0.4603 0.53815 0.70872 26 0.44026 0.55813 0.68669 27 0.42106 0.57727 0.66483 28 0.40275 0.59553 0.64329 29 0.38386 0.61437 0.62037 30 0.36556 0.63261 0.59748 Spar_sim -0.12962 1.1264 -0.27603 Dati(1,6).t.sseh_norm(p,n).Mnpf n=500 p=25 Sparsit�: 58.3333% fit rms cod 1 0.9252 0.064557 0.99441 2 0.86413 0.11727 0.98154 3 0.82662 0.14964 0.96994 4 0.80114 0.17164 0.96045 5 0.78117 0.18887 0.95211 6 0.76605 0.20192 0.94527 7 0.75612 0.21048 0.94052 8 0.74863 0.21695 0.93682 9 0.74307 0.22175 0.93399 10 0.74019 0.22424 0.9325 11 0.73878 0.22545 0.93176 12 0.73835 0.22583 0.93154 13 0.73782 0.22628 0.93126 14 0.73714 0.22686 0.93091 15 0.73636 0.22754 0.9305 16 0.73569 0.22812 0.93014 17 0.73482 0.22887 0.92968 18 0.73384 0.22972 0.92916 19 0.7328 0.23062 0.9286 20 0.73174 0.23153 0.92804 21 0.73068 0.23244 0.92747 22 0.72956 0.23341 0.92686 23 0.72852 0.2343 0.9263 24 0.72764 0.23507 0.92582 25 0.72674 0.23585 0.92533 26 0.72597 0.23651 0.92491 27 0.72527 0.23712 0.92452 28 0.72475 0.23756 0.92424 29 0.72423 0.23801 0.92395 30 0.72374 0.23843 0.92368 Spar_sim 0.71622 0.24493 0.91947 Dati(1,7).t.sseh_norm(p,n).Mnpf n=500 p=25 Sparsit�: 30.7692% fit rms cod 1 0.89881 0.090512 0.98976 2 0.89881 0.090512 0.98976 3 0.89881 0.090512 0.98976 4 0.89881 0.090512 0.98976 5 0.89881 0.090512 0.98976 6 0.89881 0.090512 0.98976 7 0.89881 0.090512 0.98976 8 0.89881 0.090512 0.98976 9 0.89881 0.090512 0.98976 10 0.89881 0.090512 0.98976 11 0.89881 0.090512 0.98976 12 0.89881 0.090512 0.98976 13 0.89881 0.090512 0.98976 14 0.89881 0.090512 0.98976 15 0.89881 0.090512 0.98976 16 0.89881 0.090512 0.98976 17 0.89881 0.090512 0.98976 18 0.89881 0.090512 0.98976 19 0.89881 0.090512 0.98976 20 0.89881 0.090512 0.98976 21 0.89881 0.090512 0.98976 22 0.89881 0.090512 0.98976 23 0.89881 0.090512 0.98976 24 0.89881 0.090512 0.98976 25 0.89881 0.090512 0.98976 26 0.89881 0.090512 0.98976 27 0.89881 0.090512 0.98976 28 0.89881 0.090512 0.98976 29 0.89881 0.090512 0.98976 30 0.89881 0.090512 0.98976 Spar_sim 0.894 0.094815 0.98876 Dati(1,8).t.sseh_norm(p,n).Mnpf n=500 p=25 Sparsit�: 83.3333% fit rms cod 1 0.93713 0.067281 0.99605 2 0.89091 0.11675 0.9881 3 0.84982 0.16072 0.97745 4 0.81424 0.19879 0.96549 5 0.78394 0.23122 0.95332 6 0.76029 0.25653 0.94254 7 0.74117 0.27699 0.93301 8 0.72546 0.2938 0.92463 9 0.71222 0.30797 0.91718 10 0.70171 0.31922 0.91102 11 0.6934 0.32812 0.90599 12 0.68686 0.33511 0.90194 13 0.68332 0.3389 0.89971 14 0.67986 0.3426 0.89751 15 0.67617 0.34655 0.89513 16 0.67289 0.35006 0.893 17 0.66937 0.35383 0.89068 18 0.66568 0.35778 0.88823 19 0.66249 0.36119 0.88609 20 0.65964 0.36424 0.88416 21 0.65682 0.36726 0.88223 22 0.65446 0.36979 0.8806 23 0.65227 0.37212 0.87909 24 0.65005 0.3745 0.87754 25 0.64787 0.37683 0.87601 26 0.64599 0.37884 0.87468 27 0.64444 0.3805 0.87358 28 0.64292 0.38214 0.87249 29 0.64148 0.38367 0.87146 30 0.64 0.38526 0.8704 Spar_sim 0.61696 0.40991 0.85328