Dati(1,1).t.sseh_yy_norm(p,n).Mnpe_2_vinc n=500 p=25 Sparsit�: 52.1739% fit rms cod 1 0.91734 0.073846 0.99317 2 0.83744 0.14522 0.97357 3 0.76323 0.21152 0.94394 4 0.68674 0.27985 0.90187 5 0.59525 0.36157 0.83618 6 0.49081 0.45487 0.74073 7 0.37488 0.55844 0.60922 8 0.24898 0.6709 0.43598 9 0.11085 0.7943 0.20942 10 -0.038452 0.92768 -0.078382 11 -0.19698 1.0693 -0.43276 12 -0.3689 1.2229 -0.87388 13 -0.55683 1.3908 -1.4237 14 -0.76058 1.5728 -2.0996 15 -0.97875 1.7677 -2.9155 16 -1.2118 1.9759 -3.8921 17 -1.4656 2.2026 -5.0792 18 -1.7393 2.4471 -6.5037 19 -2.0335 2.7099 -8.2022 20 -2.3481 2.9909 -10.2095 21 -2.6882 3.2948 -12.6031 22 -3.0536 3.6212 -15.4319 23 -3.4468 3.9725 -18.7743 24 -3.8685 4.3492 -22.7021 25 -4.3229 4.7551 -27.3333 26 -4.808 5.1884 -32.7325 27 -5.3254 5.6507 -39.0108 28 -5.8774 6.1438 -46.2983 29 -6.469 6.6723 -54.7862 30 -7.1004 7.2363 -64.6164 Spar_sim -201280068784418520000 179809424742344390000 -40513666089860314000000000000000000000000 Dati(1,2).t.sseh_yy_norm(p,n).Mnpe_2_vinc n=500 p=25 Sparsit�: 56.5217% fit rms cod 1 0.92449 0.065633 0.9943 2 0.89866 0.088079 0.98973 3 0.8859 0.099171 0.98698 4 0.87462 0.10897 0.98428 5 0.86614 0.11634 0.98208 6 0.8611 0.12073 0.98071 7 0.859 0.12255 0.98012 8 0.85694 0.12434 0.97953 9 0.85452 0.12644 0.97884 10 0.85235 0.12833 0.9782 11 0.85048 0.12995 0.97764 12 0.84861 0.13158 0.97708 13 0.8462 0.13368 0.97634 14 0.84361 0.13593 0.97554 15 0.84092 0.13826 0.97469 16 0.83808 0.14073 0.97378 17 0.83511 0.14331 0.97281 18 0.83285 0.14528 0.97206 19 0.83111 0.14679 0.97148 20 0.8294 0.14827 0.9709 21 0.82798 0.14951 0.97041 22 0.82645 0.15083 0.96988 23 0.82521 0.15192 0.96945 24 0.82402 0.15295 0.96903 25 0.82263 0.15416 0.96854 26 0.82162 0.15503 0.96818 27 0.82069 0.15585 0.96785 28 0.81976 0.15665 0.96751 29 0.81872 0.15756 0.96714 30 0.81786 0.15831 0.96682 Spar_sim 0.81023 0.16494 0.96399 Dati(1,3).t.sseh_yy_norm(p,n).Mnpe_2_vinc n=500 p=25 Sparsit�: 47.8261% fit rms cod 1 0.9508 0.045035 0.99758 2 0.93353 0.060849 0.99558 3 0.92462 0.069002 0.99432 4 0.91232 0.080265 0.99231 5 0.89911 0.092352 0.98982 6 0.89024 0.10047 0.98795 7 0.88091 0.10901 0.98582 8 0.87331 0.11597 0.98395 9 0.86581 0.12284 0.98199 10 0.85946 0.12865 0.98025 11 0.85315 0.13443 0.97843 12 0.84836 0.13881 0.977 13 0.84311 0.14362 0.97538 14 0.83872 0.14763 0.97399 15 0.83479 0.15123 0.97271 16 0.83153 0.15422 0.97162 17 0.82797 0.15747 0.97041 18 0.82524 0.15998 0.96946 19 0.82246 0.16252 0.96848 20 0.82014 0.16465 0.96765 21 0.81797 0.16663 0.96687 22 0.81648 0.168 0.96632 23 0.81491 0.16944 0.96574 24 0.81369 0.17055 0.96529 25 0.81258 0.17157 0.96487 26 0.81195 0.17214 0.96464 27 0.81115 0.17288 0.96433 28 0.81061 0.17337 0.96413 29 0.80999 0.17393 0.9639 30 0.80976 0.17414 0.96381 Spar_sim 0.80279 0.18053 0.96111 Dati(1,4).t.sseh_yy_norm(p,n).Mnpe_2_vinc n=500 p=25 Sparsit�: 56.5217% fit rms cod 1 0.94506 0.049463 0.99698 2 0.93238 0.060877 0.99543 3 0.92782 0.064979 0.99479 4 0.92442 0.06804 0.99429 5 0.92215 0.07008 0.99394 6 0.92101 0.071108 0.99376 7 0.91863 0.073249 0.99338 8 0.91479 0.07671 0.99274 9 0.91069 0.080402 0.99202 10 0.90771 0.083085 0.99148 11 0.90488 0.085627 0.99095 12 0.90292 0.08739 0.99058 13 0.90115 0.088991 0.99023 14 0.8994 0.090561 0.98988 15 0.898 0.091823 0.9896 16 0.89671 0.092983 0.98933 17 0.89441 0.095054 0.98885 18 0.89286 0.096449 0.98852 19 0.89153 0.097648 0.98823 20 0.89094 0.098184 0.9881 21 0.89041 0.098653 0.98799 22 0.8902 0.098844 0.98794 23 0.88997 0.099054 0.98789 24 0.88951 0.099467 0.98779 25 0.88885 0.10006 0.98765 26 0.88849 0.10039 0.98756 27 0.88845 0.10042 0.98756 28 0.88856 0.10032 0.98758 29 0.88867 0.10022 0.98761 30 0.88875 0.10015 0.98762 Spar_sim 0.88461 0.10388 0.98669 Dati(1,5).t.sseh_yy_norm(p,n).Mnpe_2_vinc n=500 p=25 Sparsit�: 86.9565% fit rms cod 1 0.95675 0.043937 0.99813 2 0.94357 0.057334 0.99682 3 0.93302 0.068045 0.99551 4 0.92444 0.076761 0.99429 5 0.91382 0.087559 0.99257 6 0.90291 0.098636 0.99057 7 0.89281 0.1089 0.98851 8 0.88388 0.11797 0.98652 9 0.87439 0.12762 0.98422 10 0.86513 0.13702 0.98181 11 0.85652 0.14577 0.97941 12 0.84831 0.15411 0.97699 13 0.83938 0.16318 0.9742 14 0.83061 0.17209 0.97131 15 0.82219 0.18065 0.96838 16 0.81442 0.18854 0.96556 17 0.80625 0.19684 0.96246 18 0.79836 0.20486 0.95934 19 0.79067 0.21267 0.95618 20 0.78356 0.21989 0.95315 21 0.77627 0.2273 0.94994 22 0.76907 0.23462 0.94667 23 0.76224 0.24156 0.94347 24 0.75599 0.24791 0.94046 25 0.74943 0.25457 0.93721 26 0.74283 0.26127 0.93387 27 0.73672 0.26748 0.93069 28 0.73086 0.27344 0.92756 29 0.72461 0.27979 0.92416 30 0.71871 0.28578 0.92087 Spar_sim 0.39977 0.60981 0.63972 Dati(1,6).t.sseh_yy_norm(p,n).Mnpe_2_vinc n=500 p=25 Sparsit�: 56.5217% fit rms cod 1 0.92786 0.063276 0.9948 2 0.88048 0.10484 0.98571 3 0.85318 0.12878 0.97844 4 0.83147 0.14783 0.9716 5 0.80879 0.16772 0.96344 6 0.79187 0.18256 0.95668 7 0.7796 0.19332 0.95142 8 0.77004 0.20171 0.94712 9 0.76132 0.20935 0.94303 10 0.75465 0.2152 0.9398 11 0.74859 0.22052 0.93679 12 0.74424 0.22433 0.93459 13 0.73985 0.22818 0.93232 14 0.73623 0.23136 0.93042 15 0.73257 0.23456 0.92848 16 0.72933 0.23741 0.92674 17 0.72597 0.24035 0.92491 18 0.72302 0.24295 0.92328 19 0.72013 0.24548 0.92167 20 0.71801 0.24734 0.92048 21 0.7156 0.24945 0.91912 22 0.71335 0.25143 0.91783 23 0.71143 0.25311 0.91673 24 0.71004 0.25433 0.91592 25 0.70851 0.25567 0.91504 26 0.70717 0.25685 0.91425 27 0.70582 0.25803 0.91346 28 0.70484 0.25889 0.91288 29 0.70385 0.25976 0.9123 30 0.703 0.2605 0.91179 Spar_sim 0.68943 0.27241 0.90354 Dati(1,7).t.sseh_yy_norm(p,n).Mnpe_2_vinc n=500 p=25 Sparsit�: 39.1304% fit rms cod 1 0.9474 0.048399 0.99723 2 0.93092 0.063557 0.99523 3 0.92121 0.072499 0.99379 4 0.9133 0.079776 0.99248 5 0.90694 0.085628 0.99134 6 0.90096 0.09113 0.99019 7 0.89573 0.095937 0.98913 8 0.89158 0.09976 0.98824 9 0.88807 0.10299 0.98747 10 0.88522 0.10561 0.98683 11 0.88282 0.10782 0.98627 12 0.88069 0.10978 0.98576 13 0.87907 0.11127 0.98538 14 0.87767 0.11256 0.98504 15 0.87659 0.11355 0.98477 16 0.87556 0.1145 0.98451 17 0.87465 0.11534 0.98429 18 0.87393 0.116 0.98411 19 0.87342 0.11646 0.98398 20 0.87295 0.1169 0.98386 21 0.87255 0.11727 0.98376 22 0.87222 0.11758 0.98367 23 0.87196 0.11781 0.98361 24 0.87178 0.11797 0.98356 25 0.87159 0.11815 0.98351 26 0.87148 0.11825 0.98348 27 0.87138 0.11835 0.98346 28 0.8713 0.11841 0.98344 29 0.87125 0.11847 0.98342 30 0.8712 0.11851 0.98341 Spar_sim 0.86072 0.12816 0.9806 Dati(1,8).t.sseh_yy_norm(p,n).Mnpe_2_vinc n=500 p=25 Sparsit�: 60.8696% fit rms cod 1 0.93615 0.068702 0.99592 2 0.89391 0.11414 0.98874 3 0.85975 0.15089 0.98033 4 0.83185 0.18092 0.97173 5 0.80956 0.2049 0.96373 6 0.79433 0.22128 0.9577 7 0.78471 0.23164 0.95365 8 0.77813 0.23871 0.95077 9 0.77289 0.24435 0.94842 10 0.7697 0.24778 0.94696 11 0.76747 0.25019 0.94593 12 0.76575 0.25203 0.94513 13 0.76448 0.2534 0.94453 14 0.76351 0.25444 0.94407 15 0.76277 0.25523 0.94372 16 0.76234 0.2557 0.94352 17 0.76203 0.25604 0.94337 18 0.76187 0.25621 0.94329 19 0.76184 0.25624 0.94328 20 0.7619 0.25617 0.94331 21 0.76201 0.25605 0.94336 22 0.76213 0.25593 0.94342 23 0.76224 0.25581 0.94347 24 0.76237 0.25567 0.94353 25 0.7625 0.25553 0.94359 26 0.76258 0.25545 0.94363 27 0.76261 0.25541 0.94365 28 0.76265 0.25537 0.94366 29 0.76268 0.25534 0.94368 30 0.76271 0.2553 0.9437 Spar_sim 0.75936 0.25891 0.94209