Dati(1,1).t.sseh_yy_norm(p,n).Mnpe n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 52.1739% 47.8261% 52.1739% fit rms cod fit rms cod fit rms cod 1 0.91821 0.070252 0.99331 0.91981 0.068876 0.99357 0.91969 0.068983 0.99355 2 0.84034 0.13714 0.97451 0.83799 0.13916 0.97375 0.83663 0.14032 0.97331 3 0.76654 0.20053 0.94549 0.76489 0.20195 0.94472 0.76291 0.20365 0.94379 4 0.69518 0.26182 0.90709 0.69091 0.2655 0.90446 0.68892 0.2672 0.90323 5 0.60543 0.33892 0.84432 0.60795 0.33675 0.8463 0.60259 0.34135 0.84207 6 0.49816 0.43106 0.74815 0.51794 0.41407 0.76762 0.50375 0.42626 0.75373 7 0.38048 0.53214 0.6162 0.41841 0.49955 0.66176 0.39008 0.5239 0.62799 8 0.25577 0.63926 0.44612 0.31105 0.59178 0.52534 0.26222 0.63372 0.45567 9 0.11488 0.76027 0.21656 0.19194 0.69408 0.34705 0.11506 0.76012 0.21688 10 -0.041356 0.89447 -0.084423 0.062014 0.80568 0.12018 -0.050732 0.90253 -0.10404 11 -0.21135 1.0405 -0.46736 -0.078148 0.92608 -0.1624 -0.23569 1.0614 -0.52693 12 -0.39667 1.1997 -0.95069 -0.23398 1.0599 -0.52272 -0.44956 1.2451 -1.1012 13 -0.60445 1.3781 -1.5743 -0.41155 1.2125 -0.99248 -0.70128 1.4613 -1.8943 14 -0.83701 1.5779 -2.3746 -0.61151 1.3842 -1.597 -0.99555 1.7141 -2.9822 15 -1.0958 1.8002 -3.3925 -0.83582 1.5769 -2.3702 -1.3377 2.008 -4.465 16 -1.3826 2.0466 -4.677 -1.0878 1.7933 -3.359 -1.738 2.3518 -6.4966 17 -1.7093 2.3271 -6.3401 -1.3772 2.0419 -4.651 -2.2128 2.7597 -9.3224 18 -2.0778 2.6437 -8.4731 -1.7069 2.3251 -6.3275 -2.7726 3.2405 -13.2323 19 -2.4929 3.0003 -11.2006 -2.0798 2.6454 -8.4851 -3.4286 3.8039 -18.6124 20 -2.9576 3.3994 -14.6623 -2.5022 3.0082 -11.2651 -4.1994 4.466 -26.0336 21 -3.4856 3.8529 -19.1205 -2.984 3.4221 -14.8725 -5.1085 5.2469 -36.3132 22 -4.0837 4.3667 -24.8442 -3.5327 3.8934 -19.5456 -6.1784 6.1659 -50.5291 23 -4.7617 4.9491 -32.1976 -4.1564 4.4291 -25.5881 -7.4354 7.2456 -70.1566 24 -5.5264 5.6059 -41.5944 -4.8655 5.0382 -33.4044 -8.9131 8.5149 -97.2692 25 -6.3963 6.3531 -53.7051 -5.6746 5.7332 -43.5507 -10.6525 10.0089 -134.7805 26 -7.3797 7.1978 -69.2193 -6.5939 6.5228 -56.6678 -12.6951 11.7635 -186.5564 27 -8.492 8.1532 -89.099 -7.6363 7.4181 -73.5853 -15.0921 13.8223 -257.955 28 -9.7478 9.2318 -114.5142 -8.8202 8.435 -95.4354 -17.907 16.2402 -356.4746 29 -11.1723 10.4554 -147.1638 -10.1692 9.5938 -123.7503 -21.2172 19.0835 -492.6028 30 -12.7849 11.8405 -189.0224 -11.704 10.9121 -160.3907 -25.1068 22.4245 -680.5656 Spar_sim -184668193778238620319191178988478512268228941578240000 158621087906744414308646607823136570796351528009465856 -34102341793317094101279616845529592186033870355241570211839004598572297238339370243450762427914294132736000 -11495075724793812942059123988223008647017638346713202688 9873716635940092228468273706877845268900577462754213888 -132136765918744066802115664038228364015854444983839077983596931186582661366192787366242201646070771797532344320 -1187799760467578930880944292470829593340494288220611308434144354107392 1020262809560983173501780502445397650023179402131621056368066636546048 -1410868270966838515412105329723756213120092133412950694449340278754133486494688905951415587327433019428187987406433757884615900572260761600 Dati(1,2).t.sseh_yy_norm(p,n).Mnpe n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 60.8696% 47.8261% 47.8261% fit rms cod fit rms cod fit rms cod 1 0.91786 0.070194 0.99325 0.92712 0.062283 0.99469 0.9228 0.065974 0.99404 2 0.88784 0.095847 0.98742 0.8982 0.086998 0.98964 0.89024 0.093799 0.98795 3 0.87121 0.11006 0.98341 0.88445 0.098745 0.98665 0.87234 0.1091 0.9837 4 0.85775 0.12156 0.97976 0.87248 0.10898 0.98374 0.85703 0.12218 0.97956 5 0.84638 0.13128 0.9764 0.86351 0.11664 0.98137 0.84569 0.13187 0.97619 6 0.83896 0.13762 0.97407 0.85867 0.12077 0.98003 0.83919 0.13743 0.97414 7 0.83332 0.14244 0.97222 0.85624 0.12285 0.97933 0.83532 0.14073 0.97288 8 0.82884 0.14627 0.9707 0.85441 0.12441 0.9788 0.8331 0.14263 0.97214 9 0.82428 0.15017 0.96912 0.85283 0.12577 0.97834 0.83183 0.14371 0.97172 10 0.82055 0.15335 0.9678 0.85182 0.12663 0.97804 0.83139 0.14409 0.97157 11 0.81765 0.15583 0.96675 0.85114 0.12721 0.97784 0.83134 0.14414 0.97155 12 0.8152 0.15792 0.96585 0.8506 0.12767 0.97768 0.83152 0.14398 0.97161 13 0.81278 0.16 0.96495 0.84981 0.12835 0.97744 0.83182 0.14372 0.97171 14 0.81038 0.16204 0.96405 0.84902 0.12902 0.97721 0.83219 0.1434 0.97184 15 0.80791 0.16416 0.9631 0.84819 0.12973 0.97695 0.83255 0.1431 0.97196 16 0.80537 0.16632 0.96212 0.84739 0.13042 0.97671 0.83291 0.14279 0.97208 17 0.80279 0.16853 0.96111 0.84653 0.13115 0.97645 0.8332 0.14254 0.97218 18 0.80064 0.17036 0.96026 0.84594 0.13166 0.97626 0.83343 0.14235 0.97225 19 0.79896 0.17181 0.95958 0.84549 0.13204 0.97613 0.83355 0.14224 0.97229 20 0.79751 0.17304 0.959 0.84514 0.13234 0.97602 0.83365 0.14216 0.97233 21 0.79621 0.17416 0.95847 0.84484 0.1326 0.97592 0.83369 0.14212 0.97234 22 0.79499 0.17519 0.95797 0.84456 0.13283 0.97584 0.83373 0.14209 0.97235 23 0.79392 0.17611 0.95753 0.84435 0.13301 0.97577 0.83372 0.14209 0.97235 24 0.793 0.1769 0.95715 0.84422 0.13313 0.97573 0.83373 0.14209 0.97235 25 0.79205 0.17771 0.95676 0.84405 0.13327 0.97568 0.83371 0.14211 0.97235 26 0.79132 0.17833 0.95645 0.84396 0.13335 0.97565 0.83371 0.14211 0.97235 27 0.79068 0.17888 0.95619 0.84391 0.13339 0.97564 0.83369 0.14212 0.97234 28 0.79007 0.1794 0.95593 0.84386 0.13343 0.97562 0.83369 0.14212 0.97234 29 0.78945 0.17993 0.95567 0.84381 0.13347 0.97561 0.83367 0.14214 0.97234 30 0.78896 0.18035 0.95546 0.84378 0.1335 0.9756 0.83367 0.14214 0.97234 Spar_sim 0.76805 0.19822 0.9462 0.82027 0.15359 0.9677 0.80721 0.16476 0.96283 Dati(1,3).t.sseh_yy_norm(p,n).Mnpe n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 65.2174% 47.8261% 47.8261% fit rms cod fit rms cod fit rms cod 1 0.94764 0.044875 0.99726 0.94814 0.044447 0.99731 0.94839 0.044234 0.99734 2 0.92122 0.067528 0.99379 0.92301 0.065992 0.99407 0.92327 0.065766 0.99411 3 0.90358 0.082646 0.9907 0.90793 0.078915 0.99152 0.90817 0.078707 0.99157 4 0.88829 0.095746 0.98752 0.89443 0.090484 0.98886 0.89471 0.090244 0.98891 5 0.87379 0.10817 0.98407 0.8816 0.10148 0.98598 0.88187 0.10125 0.98605 6 0.86264 0.11774 0.98113 0.87205 0.10967 0.98363 0.87234 0.10942 0.9837 7 0.85362 0.12547 0.97857 0.86435 0.11627 0.9816 0.86464 0.11602 0.98168 8 0.84637 0.13168 0.9764 0.85845 0.12133 0.97996 0.85871 0.1211 0.98004 9 0.84053 0.13669 0.97457 0.85385 0.12527 0.97864 0.85409 0.12506 0.97871 10 0.83649 0.14015 0.97326 0.85073 0.12794 0.97772 0.85093 0.12777 0.97778 11 0.83366 0.14258 0.97233 0.84846 0.12989 0.97704 0.84854 0.12982 0.97706 12 0.83176 0.1442 0.9717 0.84687 0.13125 0.97655 0.8468 0.13131 0.97653 13 0.83015 0.14558 0.97115 0.84536 0.13254 0.97609 0.84512 0.13275 0.97601 14 0.82874 0.14679 0.97067 0.84401 0.1337 0.97567 0.84353 0.13411 0.97552 15 0.82756 0.1478 0.97027 0.84288 0.13467 0.97531 0.84215 0.1353 0.97508 16 0.82636 0.14883 0.96985 0.84175 0.13564 0.97496 0.84079 0.13646 0.97465 17 0.82484 0.15014 0.96932 0.84038 0.13682 0.97452 0.83922 0.13781 0.97415 18 0.82335 0.15141 0.9688 0.83914 0.13788 0.97412 0.8378 0.13902 0.97369 19 0.82198 0.15259 0.96831 0.83814 0.13874 0.9738 0.83665 0.14001 0.97332 20 0.82072 0.15366 0.96786 0.83726 0.13949 0.97352 0.83565 0.14087 0.97299 21 0.81957 0.15465 0.96744 0.83648 0.14016 0.97326 0.83477 0.14163 0.9727 22 0.81859 0.15549 0.96709 0.83584 0.14071 0.97305 0.83403 0.14226 0.97245 23 0.81751 0.15642 0.9667 0.83509 0.14135 0.9728 0.8332 0.14297 0.97218 24 0.81639 0.15738 0.96629 0.8343 0.14203 0.97254 0.83234 0.14371 0.97189 25 0.81539 0.15823 0.96592 0.83364 0.14259 0.97232 0.8316 0.14434 0.97164 26 0.81468 0.15884 0.96566 0.8332 0.14297 0.97218 0.8311 0.14477 0.97147 27 0.81389 0.15952 0.96536 0.83268 0.14342 0.972 0.83052 0.14526 0.97128 28 0.81321 0.16011 0.96511 0.83224 0.14379 0.97186 0.83003 0.14569 0.97111 29 0.81267 0.16057 0.96491 0.83188 0.1441 0.97174 0.82962 0.14603 0.97097 30 0.8123 0.16088 0.96477 0.8316 0.14434 0.97164 0.8293 0.14631 0.97086 Spar_sim 0.8016 0.17006 0.96064 0.82367 0.15114 0.96891 0.82278 0.1519 0.96859 Dati(1,4).t.sseh_yy_norm(p,n).Mnpe n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 60.8696% 52.1739% 60.8696% fit rms cod fit rms cod fit rms cod 1 0.94579 0.048831 0.99706 0.94798 0.046854 0.99729 0.94848 0.046402 0.99735 2 0.93462 0.058886 0.99573 0.93596 0.057682 0.9959 0.93733 0.056451 0.99607 3 0.92932 0.063662 0.995 0.93173 0.061495 0.99534 0.93363 0.059778 0.9956 4 0.92783 0.065007 0.99479 0.92988 0.06316 0.99508 0.93216 0.061103 0.9954 5 0.92548 0.067122 0.99445 0.92854 0.064367 0.99489 0.93101 0.062139 0.99524 6 0.92457 0.067941 0.99431 0.92785 0.064989 0.99479 0.93058 0.062525 0.99518 7 0.92325 0.069125 0.99411 0.92675 0.065972 0.99464 0.92965 0.063365 0.99505 8 0.92224 0.070037 0.99395 0.92532 0.067267 0.99442 0.92855 0.064351 0.9949 9 0.9209 0.071244 0.99374 0.92368 0.068743 0.99418 0.92701 0.065746 0.99467 10 0.92017 0.071906 0.99363 0.9228 0.069533 0.99404 0.92637 0.066321 0.99458 11 0.91931 0.072678 0.99349 0.92204 0.070217 0.99392 0.92567 0.066948 0.99448 12 0.91903 0.072928 0.99344 0.92165 0.07057 0.99386 0.92548 0.067122 0.99445 13 0.91872 0.073206 0.99339 0.92123 0.070944 0.9938 0.92514 0.067424 0.9944 14 0.91852 0.07339 0.99336 0.92087 0.071269 0.99374 0.92496 0.067589 0.99437 15 0.91832 0.073571 0.99333 0.9205 0.071609 0.99368 0.92469 0.06783 0.99433 16 0.91821 0.073668 0.99331 0.92021 0.07187 0.99363 0.92458 0.067931 0.99431 17 0.91796 0.073893 0.99327 0.91962 0.072401 0.99354 0.9241 0.068365 0.99424 18 0.91786 0.073987 0.99325 0.9193 0.072684 0.99349 0.92398 0.068474 0.99422 19 0.91776 0.07407 0.99324 0.91904 0.072923 0.99345 0.92378 0.06865 0.99419 20 0.91778 0.07406 0.99324 0.91898 0.072971 0.99344 0.92377 0.068657 0.99419 21 0.91778 0.074055 0.99324 0.91897 0.072984 0.99343 0.92374 0.06869 0.99418 22 0.91781 0.074027 0.99325 0.91898 0.072976 0.99344 0.92374 0.068689 0.99418 23 0.91781 0.074025 0.99325 0.91895 0.072998 0.99343 0.9237 0.068722 0.99418 24 0.91782 0.074021 0.99325 0.91887 0.073074 0.99342 0.9237 0.068727 0.99418 25 0.9178 0.074041 0.99324 0.91873 0.073204 0.99339 0.92356 0.068847 0.99416 26 0.91779 0.074045 0.99324 0.91867 0.073255 0.99339 0.92356 0.068846 0.99416 27 0.91779 0.074047 0.99324 0.91867 0.073252 0.99339 0.92357 0.068836 0.99416 28 0.9178 0.074039 0.99324 0.91869 0.073235 0.99339 0.92357 0.068843 0.99416 29 0.9178 0.074038 0.99324 0.91868 0.073248 0.99339 0.92356 0.068849 0.99416 30 0.9178 0.074034 0.99324 0.91864 0.073283 0.99338 0.92357 0.068845 0.99416 Spar_sim 0.88827 0.10064 0.98752 0.88991 0.099163 0.98788 0.89294 0.096433 0.98854 Dati(1,5).t.sseh_yy_norm(p,n).Mnpe n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 78.2609% 78.2609% 78.2609% fit rms cod fit rms cod fit rms cod 1 0.9519 0.045682 0.99769 0.95238 0.045226 0.99773 0.95373 0.043945 0.99786 2 0.93411 0.062578 0.99566 0.93648 0.060327 0.99597 0.93843 0.058478 0.99621 3 0.92218 0.073906 0.99394 0.92355 0.072613 0.99415 0.92755 0.068812 0.99475 4 0.91226 0.083336 0.9923 0.91337 0.082275 0.9925 0.91645 0.079352 0.99302 5 0.89549 0.099258 0.98908 0.90038 0.094612 0.99008 0.90316 0.091976 0.99062 6 0.88046 0.11353 0.98571 0.88763 0.10673 0.98737 0.89166 0.1029 0.98826 7 0.86776 0.1256 0.98251 0.87634 0.11745 0.98471 0.88089 0.11313 0.98581 8 0.85701 0.1358 0.97956 0.86589 0.12737 0.98202 0.87057 0.12292 0.98325 9 0.84462 0.14757 0.97586 0.85459 0.1381 0.97886 0.85961 0.13334 0.98029 10 0.83252 0.15906 0.97195 0.84394 0.14821 0.97565 0.84947 0.14296 0.97734 11 0.8212 0.16981 0.96803 0.83386 0.1578 0.9724 0.83977 0.15218 0.97433 12 0.81046 0.18002 0.96407 0.82392 0.16723 0.969 0.83016 0.1613 0.97116 13 0.79905 0.19085 0.95962 0.81344 0.17718 0.9652 0.8199 0.17105 0.96756 14 0.78775 0.20158 0.95495 0.80328 0.18684 0.9613 0.81009 0.18037 0.96393 15 0.7766 0.21217 0.95009 0.79337 0.19625 0.9573 0.80048 0.18949 0.96019 16 0.76644 0.22182 0.94545 0.78413 0.20502 0.9534 0.79159 0.19793 0.95657 17 0.75588 0.23185 0.94041 0.77442 0.21424 0.94911 0.7821 0.20695 0.95252 18 0.7457 0.24152 0.93533 0.76511 0.22309 0.94483 0.77308 0.21551 0.94851 19 0.73582 0.2509 0.93021 0.75606 0.23168 0.94049 0.76435 0.22381 0.94447 20 0.72644 0.25981 0.92517 0.74743 0.23988 0.93621 0.75599 0.23175 0.94046 21 0.71693 0.26885 0.91987 0.73858 0.24828 0.93166 0.74729 0.24001 0.93614 22 0.70779 0.27753 0.91461 0.72999 0.25644 0.9271 0.73895 0.24793 0.93185 23 0.69889 0.28598 0.90933 0.7217 0.26432 0.92255 0.73089 0.25558 0.92758 24 0.69054 0.29391 0.90424 0.71391 0.27172 0.91815 0.72329 0.26281 0.92343 25 0.68216 0.30186 0.89898 0.70593 0.27929 0.91352 0.71543 0.27027 0.91902 26 0.67393 0.30968 0.89368 0.69805 0.28678 0.90883 0.70774 0.27757 0.91458 27 0.66599 0.31723 0.88844 0.69052 0.29392 0.90423 0.70036 0.28458 0.91022 28 0.65846 0.32438 0.88335 0.68333 0.30076 0.89972 0.69328 0.29131 0.90592 29 0.65083 0.33163 0.87808 0.67592 0.30779 0.89497 0.68596 0.29825 0.90138 30 0.64352 0.33856 0.87292 0.66887 0.31449 0.89035 0.67902 0.30485 0.89697 Spar_sim 0.39095 0.57844 0.62906 0.35714 0.61056 0.58673 0.3542 0.61335 0.58294 Dati(1,6).t.sseh_yy_norm(p,n).Mnpe n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 34.7826% 34.7826% 39.1304% fit rms cod fit rms cod fit rms cod 1 0.91929 0.069153 0.99349 0.92027 0.068313 0.99364 0.92467 0.064544 0.99433 2 0.84603 0.13193 0.97629 0.84241 0.13503 0.97517 0.85062 0.12799 0.97769 3 0.78073 0.18788 0.95192 0.77261 0.19484 0.94829 0.78158 0.18716 0.95229 4 0.72474 0.23586 0.92423 0.70901 0.24933 0.91533 0.71751 0.24205 0.9202 5 0.6689 0.2837 0.89037 0.64543 0.30381 0.87428 0.65288 0.29743 0.87951 6 0.6162 0.32886 0.8527 0.58476 0.3558 0.82757 0.59077 0.35065 0.83253 7 0.56495 0.37277 0.81073 0.52661 0.40562 0.7759 0.53099 0.40187 0.78003 8 0.51648 0.41431 0.7662 0.47033 0.45384 0.71945 0.47308 0.45149 0.72235 9 0.46927 0.45476 0.71832 0.41466 0.50155 0.65738 0.41521 0.50107 0.65802 10 0.42545 0.4923 0.6699 0.36077 0.54772 0.59139 0.35881 0.5494 0.58888 11 0.38228 0.52929 0.61842 0.30735 0.59349 0.52024 0.30209 0.598 0.51292 12 0.34136 0.56436 0.56619 0.25512 0.63825 0.44515 0.2454 0.64657 0.43058 13 0.3 0.59979 0.51 0.20179 0.68394 0.36287 0.18597 0.6975 0.33736 14 0.25867 0.63521 0.45043 0.1472 0.73072 0.27272 0.12411 0.75051 0.23281 15 0.21582 0.67193 0.38505 0.090596 0.77922 0.17298 0.058837 0.80643 0.11421 16 0.17278 0.70881 0.3157 0.032689 0.82884 0.064309 -0.0092465 0.86477 -0.018578 17 0.1282 0.747 0.23996 -0.02785 0.88071 -0.056475 -0.081476 0.92666 -0.16959 18 0.083976 0.78489 0.1609 -0.089294 0.93336 -0.18656 -0.15624 0.99072 -0.33689 19 0.03986 0.82269 0.07813 -0.15131 0.9865 -0.32552 -0.23373 1.0571 -0.5221 20 -0.0029035 0.85934 -0.0058155 -0.2133 1.0396 -0.4721 -0.3133 1.1253 -0.72476 21 -0.047075 0.89718 -0.096367 -0.27775 1.0948 -0.63264 -0.39736 1.1973 -0.9526 22 -0.091645 0.93537 -0.19169 -0.34383 1.1515 -0.80588 -0.48484 1.2723 -1.2047 23 -0.13635 0.97368 -0.29129 -0.41087 1.2089 -0.99056 -0.57542 1.3499 -1.4819 24 -0.18025 1.0113 -0.393 -0.47845 1.2668 -1.1858 -0.66876 1.4299 -1.7848 25 -0.22494 1.0496 -0.50047 -0.5481 1.3265 -1.3966 -0.76653 1.5136 -2.1206 26 -0.26921 1.0875 -0.61089 -0.61876 1.387 -1.6204 -0.86761 1.6003 -2.488 27 -0.31381 1.1257 -0.72611 -0.69078 1.4487 -1.8587 -0.97259 1.6902 -2.8911 28 -0.3577 1.1633 -0.84334 -0.76354 1.5111 -2.1101 -1.0807 1.7829 -3.3294 29 -0.40227 1.2015 -0.96637 -0.83854 1.5753 -2.3802 -1.1938 1.8797 -3.8127 30 -0.44644 1.2394 -1.0922 -0.9149 1.6408 -2.6668 -1.3111 1.9802 -4.341 Spar_sim -1828.7056 1567.7787 -3347821.7362 -177666128992.2733 152232778097.8159 -31565253391454425841664 -4746623557610992640 4067132519035286528 -22530435197667651869834820541002809344 Dati(1,7).t.sseh_yy_norm(p,n).Mnpe n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 52.1739% 56.5217% 56.5217% fit rms cod fit rms cod fit rms cod 1 0.94465 0.048243 0.99694 0.94657 0.046569 0.99714 0.94662 0.046522 0.99715 2 0.92971 0.061265 0.99506 0.93315 0.058265 0.99553 0.93317 0.058241 0.99553 3 0.92078 0.069041 0.99372 0.92466 0.065659 0.99432 0.9247 0.065628 0.99433 4 0.91421 0.074773 0.99264 0.91808 0.071396 0.99329 0.91823 0.07127 0.99331 5 0.9087 0.079571 0.99166 0.91352 0.075367 0.99252 0.91371 0.075209 0.99255 6 0.90491 0.082875 0.99096 0.90917 0.079166 0.99175 0.90944 0.07893 0.9918 7 0.90182 0.085566 0.99036 0.90591 0.082003 0.99115 0.9063 0.08166 0.99122 8 0.89946 0.087622 0.98989 0.90264 0.084853 0.99052 0.9032 0.084368 0.99063 9 0.89672 0.09001 0.98933 0.89917 0.087879 0.98983 0.89987 0.087271 0.98997 10 0.89482 0.091667 0.98894 0.89548 0.091091 0.98908 0.89628 0.090392 0.98924 11 0.89297 0.093279 0.98854 0.89236 0.093816 0.98841 0.89328 0.093014 0.98861 12 0.8917 0.094392 0.98827 0.88914 0.096616 0.98771 0.89014 0.095747 0.98793 13 0.89072 0.095246 0.98806 0.88685 0.098618 0.9872 0.88795 0.097657 0.98744 14 0.88994 0.095919 0.98789 0.88468 0.1005 0.9867 0.88586 0.099474 0.98697 15 0.88941 0.09638 0.98777 0.88305 0.10193 0.98632 0.88431 0.10083 0.98662 16 0.88894 0.096794 0.98767 0.8812 0.10354 0.98589 0.8825 0.1024 0.98619 17 0.88845 0.097216 0.98756 0.87949 0.10503 0.98548 0.88082 0.10387 0.9858 18 0.88815 0.097485 0.98749 0.87795 0.10637 0.9851 0.87931 0.10519 0.98543 19 0.88788 0.097716 0.98743 0.87678 0.10739 0.98482 0.87818 0.10617 0.98516 20 0.88771 0.097866 0.98739 0.87547 0.10853 0.98449 0.87687 0.10731 0.98484 21 0.88757 0.097983 0.98736 0.87431 0.10955 0.9842 0.87569 0.10834 0.98455 22 0.88747 0.098072 0.98734 0.8732 0.11051 0.98392 0.87457 0.10932 0.98427 23 0.8874 0.098137 0.98732 0.87229 0.1113 0.98369 0.87363 0.11014 0.98403 24 0.88735 0.098175 0.98731 0.87155 0.11195 0.9835 0.87289 0.11078 0.98384 25 0.8873 0.098225 0.9873 0.87055 0.11282 0.98324 0.87183 0.1117 0.98357 26 0.88726 0.098255 0.98729 0.86981 0.11347 0.98305 0.87105 0.11239 0.98337 27 0.88723 0.098283 0.98728 0.86907 0.11411 0.98286 0.87024 0.11309 0.98316 28 0.88721 0.098298 0.98728 0.86848 0.11463 0.9827 0.8696 0.11365 0.983 29 0.8872 0.098313 0.98728 0.86796 0.11508 0.98256 0.86902 0.11416 0.98284 30 0.88718 0.098324 0.98727 0.86749 0.11549 0.98244 0.86848 0.11462 0.9827 Spar_sim 0.88383 0.10125 0.9865 0.85366 0.12754 0.97858 0.85266 0.12842 0.97829 Dati(1,8).t.sseh_yy_norm(p,n).Mnpe n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 60.8696% 60.8696% 52.1739% fit rms cod fit rms cod fit rms cod 1 0.9324 0.069591 0.99543 0.93454 0.067383 0.99572 0.93625 0.065623 0.99594 2 0.88608 0.11727 0.98702 0.88938 0.11388 0.98776 0.8943 0.10881 0.98883 3 0.8455 0.15905 0.97613 0.85386 0.15044 0.97864 0.86147 0.14261 0.98081 4 0.81423 0.19125 0.96549 0.82531 0.17983 0.96948 0.83523 0.16962 0.97285 5 0.78938 0.21683 0.95564 0.8029 0.2029 0.96115 0.81475 0.1907 0.96568 6 0.77209 0.23462 0.94806 0.78738 0.21888 0.95479 0.80081 0.20506 0.96032 7 0.76023 0.24683 0.94251 0.77751 0.22904 0.9505 0.7921 0.21402 0.95678 8 0.75189 0.25542 0.93844 0.77106 0.23568 0.94759 0.78673 0.21955 0.95452 9 0.74492 0.26259 0.93494 0.76615 0.24074 0.94531 0.78291 0.22349 0.95287 10 0.73971 0.26796 0.93225 0.76295 0.24403 0.94381 0.78076 0.2257 0.95193 11 0.73533 0.27247 0.92995 0.76063 0.24642 0.9427 0.77941 0.22708 0.95134 12 0.73168 0.27622 0.92801 0.75877 0.24833 0.94181 0.77848 0.22805 0.95093 13 0.72837 0.27963 0.92622 0.75714 0.25001 0.94102 0.77774 0.22881 0.9506 14 0.72538 0.2827 0.92459 0.75573 0.25146 0.94033 0.77713 0.22944 0.95033 15 0.72258 0.28559 0.92304 0.7545 0.25273 0.93973 0.77661 0.22997 0.9501 16 0.7203 0.28793 0.92177 0.7536 0.25366 0.93929 0.77632 0.23027 0.94997 17 0.71813 0.29017 0.92055 0.7528 0.25448 0.93889 0.77608 0.23052 0.94986 18 0.7162 0.29216 0.91945 0.75213 0.25517 0.93856 0.77589 0.23071 0.94978 19 0.71457 0.29383 0.91853 0.75163 0.25569 0.93831 0.77579 0.23081 0.94973 20 0.71326 0.29518 0.91778 0.75127 0.25605 0.93814 0.77575 0.23085 0.94971 21 0.7121 0.29637 0.91712 0.75101 0.25632 0.938 0.77575 0.23086 0.94971 22 0.71122 0.29728 0.91661 0.75085 0.25649 0.93792 0.77576 0.23084 0.94972 23 0.71048 0.29805 0.91618 0.75074 0.2566 0.93787 0.77579 0.23081 0.94973 24 0.70983 0.29872 0.9158 0.75067 0.25667 0.93783 0.77583 0.23077 0.94975 25 0.70928 0.29929 0.91548 0.75063 0.25672 0.93781 0.77586 0.23074 0.94976 26 0.70888 0.2997 0.91525 0.75061 0.25673 0.9378 0.77589 0.23071 0.94977 27 0.70857 0.30002 0.91507 0.7506 0.25674 0.9378 0.7759 0.2307 0.94978 28 0.70831 0.30028 0.91492 0.7506 0.25674 0.9378 0.77592 0.23068 0.94979 29 0.7081 0.30049 0.9148 0.75061 0.25674 0.9378 0.77593 0.23067 0.94979 30 0.70792 0.30069 0.91469 0.75061 0.25673 0.93781 0.77595 0.23065 0.9498 Spar_sim 0.7062 0.30246 0.91368 0.74359 0.26396 0.93426 0.76782 0.23902 0.94609