Dati(1,1).t.sseh_norm(p,n).Mnpe n=500 p=25 Sparsit�: 50% fit rms cod 1 0.92113 0.068004 0.99378 2 0.84107 0.13703 0.97474 3 0.77445 0.19447 0.94913 4 0.71009 0.24996 0.91595 5 0.63686 0.3131 0.86813 6 0.55461 0.38401 0.80163 7 0.46626 0.46019 0.71512 8 0.37643 0.53764 0.61116 9 0.28148 0.61951 0.48373 10 0.18299 0.70443 0.33249 11 0.083778 0.78997 0.16054 12 -0.018687 0.87831 -0.037723 13 -0.12647 0.97125 -0.26894 14 -0.24062 1.0697 -0.53915 15 -0.35924 1.1719 -0.84753 16 -0.4823 1.278 -1.1972 17 -0.61268 1.3905 -1.6007 18 -0.75024 1.5091 -2.0634 19 -0.89385 1.6329 -2.5867 20 -1.0433 1.7618 -3.1752 21 -1.202 1.8986 -3.8489 22 -1.3696 2.043 -4.6148 23 -1.5461 2.1952 -5.4826 24 -1.7323 2.3558 -6.4653 25 -1.9309 2.527 -7.5901 26 -2.1397 2.707 -8.8575 27 -2.3581 2.8954 -10.2769 28 -2.5879 3.0935 -11.8727 29 -2.8323 3.3042 -13.6865 30 -3.0901 3.5265 -15.7287 Spar_sim -8103888314220605900000 6987183920824150100000 -65673005809361341000000000000000000000000000 Dati(1,2).t.sseh_norm(p,n).Mnpe n=500 p=25 Sparsit�: 50% fit rms cod 1 0.92402 0.064173 0.99423 2 0.89766 0.086435 0.98953 3 0.88469 0.097396 0.9867 4 0.87396 0.10646 0.98411 5 0.8671 0.11225 0.98234 6 0.86363 0.11519 0.9814 7 0.8637 0.11512 0.98142 8 0.86424 0.11467 0.98157 9 0.86457 0.11439 0.98166 10 0.86516 0.11389 0.98182 11 0.86629 0.11294 0.98212 12 0.86741 0.11199 0.98242 13 0.8677 0.11175 0.9825 14 0.86744 0.11196 0.98243 15 0.86635 0.11288 0.98214 16 0.86464 0.11433 0.98168 17 0.8624 0.11622 0.98107 18 0.8609 0.11749 0.98065 19 0.86008 0.11818 0.98042 20 0.85914 0.11898 0.98016 21 0.85884 0.11923 0.98007 22 0.85801 0.11993 0.97984 23 0.85734 0.12049 0.97965 24 0.85672 0.12102 0.97947 25 0.8555 0.12205 0.97912 26 0.85506 0.12242 0.97899 27 0.8545 0.12289 0.97883 28 0.8539 0.1234 0.97865 29 0.85297 0.12419 0.97838 30 0.8523 0.12475 0.97819 Spar_sim 0.84741 0.12888 0.97672 Dati(1,3).t.sseh_norm(p,n).Mnpe n=500 p=25 Sparsit�: 50% fit rms cod 1 0.94749 0.04626 0.99724 2 0.92304 0.067796 0.99408 3 0.90926 0.079933 0.99177 4 0.8949 0.09259 0.98895 5 0.88138 0.1045 0.98593 6 0.8715 0.1132 0.98349 7 0.86296 0.12072 0.98122 8 0.85623 0.12665 0.97933 9 0.85038 0.13181 0.97761 10 0.84619 0.1355 0.97634 11 0.84312 0.1382 0.97539 12 0.84151 0.13962 0.97488 13 0.83983 0.1411 0.97434 14 0.83837 0.14239 0.97387 15 0.83736 0.14327 0.97355 16 0.83666 0.14389 0.97332 17 0.83576 0.14469 0.97302 18 0.83503 0.14533 0.97279 19 0.83441 0.14587 0.97258 20 0.83395 0.14628 0.97243 21 0.83362 0.14657 0.97232 22 0.83348 0.1467 0.97227 23 0.83333 0.14683 0.97222 24 0.83324 0.14691 0.97219 25 0.83319 0.14695 0.97218 26 0.83321 0.14693 0.97218 27 0.8332 0.14694 0.97218 28 0.83322 0.14692 0.97219 29 0.83325 0.1469 0.97219 30 0.83328 0.14687 0.97221 Spar_sim 0.8292 0.15046 0.97083 Dati(1,4).t.sseh_norm(p,n).Mnpe n=500 p=25 Sparsit�: 66.6667% fit rms cod 1 0.94373 0.048566 0.99683 2 0.92792 0.062207 0.99481 3 0.92032 0.068769 0.99365 4 0.91445 0.073835 0.99268 5 0.90999 0.077681 0.9919 6 0.90683 0.080412 0.99132 7 0.90278 0.083911 0.99055 8 0.89768 0.088313 0.98953 9 0.89181 0.093377 0.98829 10 0.88686 0.097646 0.9872 11 0.8818 0.10202 0.98603 12 0.87799 0.1053 0.98511 13 0.87464 0.1082 0.98428 14 0.87094 0.11139 0.98334 15 0.86743 0.11441 0.98243 16 0.86419 0.11722 0.98155 17 0.85961 0.12117 0.98029 18 0.85597 0.12431 0.97925 19 0.85274 0.1271 0.97831 20 0.85055 0.12898 0.97767 21 0.84845 0.1308 0.97703 22 0.84676 0.13225 0.97652 23 0.84522 0.13359 0.97604 24 0.84331 0.13524 0.97545 25 0.84119 0.13707 0.97478 26 0.83935 0.13866 0.97419 27 0.83809 0.13974 0.97378 28 0.83728 0.14044 0.97352 29 0.83651 0.14111 0.97327 30 0.83585 0.14167 0.97306 Spar_sim 0.82446 0.1515 0.96919 Dati(1,5).t.sseh_norm(p,n).Mnpe n=500 p=25 Sparsit�: 75% fit rms cod 1 0.94897 0.050888 0.9974 2 0.92508 0.074709 0.99439 3 0.90248 0.097239 0.99049 4 0.87833 0.12132 0.9852 5 0.85201 0.14757 0.9781 6 0.82713 0.17238 0.97011 7 0.80312 0.19632 0.96124 8 0.78054 0.21883 0.95184 9 0.75751 0.24179 0.9412 10 0.73546 0.26378 0.93002 11 0.71384 0.28534 0.91811 12 0.69239 0.30672 0.90538 13 0.67043 0.32862 0.89139 14 0.64819 0.3508 0.87623 15 0.62545 0.37347 0.85971 16 0.60364 0.39522 0.8429 17 0.58106 0.41774 0.82449 18 0.55847 0.44026 0.80505 19 0.53583 0.46283 0.78455 20 0.51375 0.48485 0.76356 21 0.49141 0.50713 0.74133 22 0.46919 0.52928 0.71824 23 0.44704 0.55137 0.69424 24 0.42573 0.57262 0.67021 25 0.40441 0.59387 0.64528 26 0.38323 0.615 0.61959 27 0.36262 0.63554 0.59375 28 0.34264 0.65547 0.56787 29 0.32238 0.67567 0.54083 30 0.30261 0.69539 0.51364 Spar_sim -0.95992 1.9543 -2.8413 Dati(1,6).t.sseh_norm(p,n).Mnpe n=500 p=25 Sparsit�: 50% fit rms cod 1 0.92456 0.06511 0.99431 2 0.86196 0.11914 0.98094 3 0.82013 0.15524 0.96765 4 0.78994 0.1813 0.95587 5 0.76518 0.20267 0.94486 6 0.74737 0.21804 0.93618 7 0.73511 0.22862 0.92983 8 0.72635 0.23618 0.92512 9 0.71953 0.24207 0.92133 10 0.71539 0.24564 0.919 11 0.71285 0.24783 0.91755 12 0.71153 0.24897 0.91679 13 0.7101 0.25021 0.91596 14 0.70863 0.25147 0.9151 15 0.70703 0.25285 0.91417 16 0.70558 0.25411 0.91331 17 0.70378 0.25566 0.91225 18 0.70226 0.25698 0.91135 19 0.70074 0.25828 0.91044 20 0.69965 0.25922 0.90979 21 0.69854 0.26019 0.90912 22 0.69754 0.26104 0.90852 23 0.69682 0.26167 0.90808 24 0.6965 0.26194 0.90789 25 0.69608 0.26231 0.90763 26 0.69583 0.26253 0.90748 27 0.69556 0.26276 0.90732 28 0.69557 0.26274 0.90732 29 0.69559 0.26273 0.90733 30 0.69569 0.26264 0.90739 Spar_sim 0.69131 0.26642 0.90471 Dati(1,7).t.sseh_norm(p,n).Mnpe n=500 p=25 Sparsit�: 30.7692% fit rms cod 1 0.8998 0.089623 0.98996 2 0.8998 0.089623 0.98996 3 0.8998 0.089623 0.98996 4 0.8998 0.089623 0.98996 5 0.8998 0.089623 0.98996 6 0.8998 0.089623 0.98996 7 0.8998 0.089623 0.98996 8 0.8998 0.089623 0.98996 9 0.8998 0.089623 0.98996 10 0.8998 0.089623 0.98996 11 0.8998 0.089623 0.98996 12 0.8998 0.089623 0.98996 13 0.8998 0.089623 0.98996 14 0.8998 0.089623 0.98996 15 0.8998 0.089623 0.98996 16 0.8998 0.089623 0.98996 17 0.8998 0.089623 0.98996 18 0.8998 0.089623 0.98996 19 0.8998 0.089623 0.98996 20 0.8998 0.089623 0.98996 21 0.8998 0.089623 0.98996 22 0.8998 0.089623 0.98996 23 0.8998 0.089623 0.98996 24 0.8998 0.089623 0.98996 25 0.8998 0.089623 0.98996 26 0.8998 0.089623 0.98996 27 0.8998 0.089623 0.98996 28 0.8998 0.089623 0.98996 29 0.8998 0.089623 0.98996 30 0.8998 0.089623 0.98996 Spar_sim 0.89535 0.093608 0.98905 Dati(1,8).t.sseh_norm(p,n).Mnpe n=500 p=25 Sparsit�: 75% fit rms cod 1 0.93701 0.067413 0.99603 2 0.88848 0.11934 0.98756 3 0.84336 0.16763 0.97546 4 0.80185 0.21205 0.96074 5 0.76528 0.25119 0.94491 6 0.73573 0.28281 0.93016 7 0.71091 0.30937 0.91643 8 0.6908 0.3309 0.90439 9 0.67382 0.34906 0.89361 10 0.66039 0.36344 0.88466 11 0.6494 0.3752 0.87708 12 0.64052 0.3847 0.87078 13 0.63512 0.39048 0.86686 14 0.62985 0.39612 0.86299 15 0.62427 0.40209 0.85883 16 0.61931 0.4074 0.85507 17 0.61416 0.41291 0.85113 18 0.60881 0.41864 0.84697 19 0.60401 0.42377 0.84319 20 0.59961 0.42848 0.83969 21 0.59533 0.43306 0.83624 22 0.59163 0.43702 0.83323 23 0.58822 0.44067 0.83044 24 0.58479 0.44434 0.8276 25 0.58153 0.44783 0.82488 26 0.57872 0.45084 0.82252 27 0.57636 0.45336 0.82053 28 0.57401 0.45587 0.81854 29 0.57176 0.45828 0.81661 30 0.56936 0.46085 0.81455 Spar_sim 0.53393 0.49877 0.78278