Dati(1,1).t.sseh_yy_norm(p,n).Mnpe n=1500 p=25 Sparsit�: 60.8696% fit rms cod 1 0.92354 0.067322 0.99415 2 0.84495 0.13651 0.97596 3 0.77424 0.19877 0.94903 4 0.70107 0.26318 0.91064 5 0.61444 0.33946 0.85134 6 0.51283 0.42892 0.76267 7 0.39488 0.53277 0.63383 8 0.26211 0.64966 0.45553 9 0.11002 0.78357 0.20794 10 -0.061309 0.93442 -0.12638 11 -0.2525 1.1027 -0.56876 12 -0.47261 1.2965 -1.1686 13 -0.72914 1.5224 -1.9899 14 -1.0267 1.7844 -3.1076 15 -1.371 2.0875 -4.6214 16 -1.7705 2.4393 -6.6757 17 -2.2395 2.8522 -9.4943 18 -2.7883 3.3353 -13.351 19 -3.4293 3.8997 -18.6183 20 -4.1786 4.5594 -25.8174 21 -5.0569 5.3327 -35.6864 22 -6.0857 6.2385 -49.2066 23 -7.29 7.2988 -67.7243 24 -8.6996 8.5399 -93.0829 25 -10.3508 9.9937 -127.8403 26 -12.2807 11.6928 -175.3764 27 -14.5368 13.6792 -240.3921 28 -17.1756 16.0025 -329.3537 29 -20.2656 18.723 -451.2257 30 -23.8823 21.9073 -618.1288 Spar_sim -713777503718113910000000000000000000000000000000000000000 628436710324039270000000000000000000000000000000000000000 -509478324814061940000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000 Dati(1,2).t.sseh_yy_norm(p,n).Mnpe n=1500 p=25 Sparsit�: 56.5217% fit rms cod 1 0.92705 0.063362 0.99468 2 0.90287 0.084363 0.99057 3 0.89079 0.094858 0.98807 4 0.88113 0.10324 0.98587 5 0.87413 0.10932 0.98416 6 0.87138 0.11171 0.98346 7 0.87102 0.11202 0.98337 8 0.87087 0.11216 0.98333 9 0.87067 0.11233 0.98327 10 0.87081 0.11221 0.98331 11 0.87125 0.11183 0.98342 12 0.87186 0.1113 0.98358 13 0.87207 0.11112 0.98363 14 0.87194 0.11123 0.9836 15 0.87131 0.11177 0.98344 16 0.87025 0.1127 0.98316 17 0.86887 0.11389 0.98281 18 0.86777 0.11485 0.98251 19 0.8669 0.11561 0.98228 20 0.86593 0.11645 0.98202 21 0.86519 0.11709 0.98183 22 0.86419 0.11796 0.98156 23 0.86332 0.11871 0.98132 24 0.86252 0.11941 0.9811 25 0.86156 0.12024 0.98083 26 0.86104 0.12069 0.98069 27 0.86055 0.12112 0.98055 28 0.86005 0.12155 0.98041 29 0.85944 0.12209 0.98024 30 0.85901 0.12246 0.98012 Spar_sim 0.84874 0.13138 0.97712 Dati(1,3).t.sseh_yy_norm(p,n).Mnpe n=1500 p=25 Sparsit�: 60.8696% fit rms cod 1 0.95878 0.037204 0.9983 2 0.94011 0.05406 0.99641 3 0.93034 0.062871 0.99515 4 0.92158 0.07078 0.99385 5 0.91346 0.078107 0.99251 6 0.90763 0.083376 0.99147 7 0.90368 0.086935 0.99072 8 0.90043 0.089874 0.99009 9 0.89757 0.09245 0.98951 10 0.89599 0.093882 0.98918 11 0.89503 0.094745 0.98898 12 0.89466 0.095079 0.9889 13 0.89416 0.095532 0.9888 14 0.89416 0.095532 0.9888 15 0.89445 0.095273 0.98886 16 0.89466 0.095082 0.9889 17 0.89418 0.095511 0.9888 18 0.89362 0.096017 0.98868 19 0.8929 0.096668 0.98853 20 0.89207 0.097421 0.98835 21 0.89121 0.098189 0.98817 22 0.89071 0.098645 0.98806 23 0.88983 0.099437 0.98786 24 0.8888 0.10037 0.98764 25 0.88784 0.10124 0.98742 26 0.88736 0.10167 0.98731 27 0.88637 0.10257 0.98709 28 0.88539 0.10345 0.98686 29 0.88454 0.10421 0.98667 30 0.8839 0.10479 0.98652 Spar_sim 0.87603 0.1119 0.98463 Dati(1,4).t.sseh_yy_norm(p,n).Mnpe n=1500 p=25 Sparsit�: 65.2174% fit rms cod 1 0.94724 0.046634 0.99722 2 0.93506 0.0574 0.99578 3 0.93066 0.061286 0.99519 4 0.92826 0.063412 0.99485 5 0.92661 0.064869 0.99461 6 0.92597 0.065435 0.99452 7 0.92504 0.066258 0.99438 8 0.92362 0.067512 0.99417 9 0.92185 0.069071 0.99389 10 0.92085 0.069961 0.99373 11 0.92002 0.070691 0.9936 12 0.91956 0.071103 0.99353 13 0.91908 0.071519 0.99345 14 0.91861 0.07194 0.99338 15 0.91815 0.072342 0.9933 16 0.91779 0.072665 0.99324 17 0.91702 0.073347 0.99311 18 0.91658 0.073733 0.99304 19 0.91624 0.074036 0.99298 20 0.91616 0.074103 0.99297 21 0.91608 0.074171 0.99296 22 0.91607 0.074181 0.99296 23 0.91603 0.074219 0.99295 24 0.91589 0.074341 0.99293 25 0.91568 0.074532 0.99289 26 0.91555 0.074647 0.99287 27 0.9155 0.074685 0.99286 28 0.91548 0.074707 0.99286 29 0.91543 0.074753 0.99285 30 0.91536 0.074811 0.99284 Spar_sim 0.89788 0.090262 0.98957 Dati(1,5).t.sseh_yy_norm(p,n).Mnpe n=1500 p=25 Sparsit�: 78.2609% fit rms cod 1 0.95529 0.045481 0.998 2 0.94124 0.059768 0.99655 3 0.93057 0.070621 0.99518 4 0.92009 0.081278 0.99361 5 0.90759 0.093993 0.99146 6 0.89657 0.1052 0.9893 7 0.88637 0.11557 0.98709 8 0.87657 0.12555 0.98476 9 0.86619 0.13611 0.98209 10 0.85653 0.14593 0.97942 11 0.8473 0.15532 0.97668 12 0.83804 0.16474 0.97377 13 0.82814 0.1748 0.97047 14 0.81856 0.18455 0.96708 15 0.80919 0.19408 0.96359 16 0.80053 0.20289 0.96021 17 0.79126 0.21232 0.95643 18 0.78236 0.22137 0.95263 19 0.77372 0.23016 0.9488 20 0.76543 0.23859 0.94498 21 0.75683 0.24733 0.94087 22 0.74848 0.25583 0.93674 23 0.7404 0.26405 0.93261 24 0.73276 0.27182 0.92858 25 0.72487 0.27985 0.9243 26 0.71704 0.28781 0.91993 27 0.70956 0.29542 0.91564 28 0.70235 0.30275 0.9114 29 0.69487 0.31036 0.9069 30 0.68774 0.31762 0.90249 Spar_sim 0.29456 0.71753 0.50236 Dati(1,6).t.sseh_yy_norm(p,n).Mnpe n=1500 p=25 Sparsit�: 43.4783% fit rms cod 1 0.93178 0.059784 0.99535 2 0.88169 0.10369 0.986 3 0.84339 0.13725 0.97547 4 0.80759 0.16863 0.96298 5 0.77146 0.20029 0.94777 6 0.73927 0.22851 0.93202 7 0.70961 0.2545 0.91568 8 0.68082 0.27973 0.89812 9 0.65279 0.3043 0.87945 10 0.62713 0.32679 0.86097 11 0.60275 0.34815 0.84219 12 0.5813 0.36695 0.82469 13 0.56178 0.38406 0.80796 14 0.54412 0.39954 0.79217 15 0.52765 0.41397 0.77688 16 0.51268 0.42709 0.76252 17 0.49866 0.43938 0.74866 18 0.48616 0.45033 0.73597 19 0.47475 0.46033 0.72411 20 0.4649 0.46897 0.71367 21 0.45551 0.47719 0.70354 22 0.44672 0.4849 0.69388 23 0.43872 0.49191 0.68496 24 0.43155 0.49819 0.67687 25 0.42473 0.50417 0.66907 26 0.41847 0.50966 0.66182 27 0.41249 0.5149 0.65483 28 0.40709 0.51963 0.64846 29 0.40191 0.52417 0.64229 30 0.39715 0.52834 0.63657 Spar_sim 0.31312 0.60199 0.5282 Dati(1,7).t.sseh_yy_norm(p,n).Mnpe n=1500 p=25 Sparsit�: 65.2174% fit rms cod 1 0.95145 0.044405 0.99764 2 0.93713 0.057496 0.99605 3 0.92922 0.06473 0.99499 4 0.9229 0.070506 0.99406 5 0.91914 0.073948 0.99346 6 0.91458 0.078123 0.9927 7 0.91078 0.081594 0.99204 8 0.90754 0.084562 0.99145 9 0.90472 0.087137 0.99092 10 0.90224 0.0894 0.99044 11 0.90006 0.0914 0.99001 12 0.89776 0.0935 0.98955 13 0.8961 0.095018 0.98921 14 0.89454 0.096445 0.98888 15 0.89328 0.097603 0.98861 16 0.89191 0.098855 0.98832 17 0.8906 0.10005 0.98803 18 0.88959 0.10098 0.98781 19 0.88888 0.10162 0.98765 20 0.88818 0.10226 0.9875 21 0.88762 0.10278 0.98737 22 0.88705 0.1033 0.98724 23 0.88657 0.10373 0.98713 24 0.88627 0.10401 0.98707 25 0.88589 0.10436 0.98698 26 0.88566 0.10457 0.98693 27 0.88541 0.1048 0.98687 28 0.88522 0.10497 0.98683 29 0.88507 0.10511 0.98679 30 0.88493 0.10524 0.98676 Spar_sim 0.85784 0.13001 0.97979 Dati(1,8).t.sseh_yy_norm(p,n).Mnpe n=1500 p=25 Sparsit�: 65.2174% fit rms cod 1 0.93961 0.065036 0.99635 2 0.90027 0.1074 0.99005 3 0.86477 0.14564 0.98171 4 0.83479 0.17792 0.97271 5 0.81076 0.20379 0.96419 6 0.7946 0.2212 0.95781 7 0.78542 0.23109 0.95396 8 0.7801 0.23681 0.95165 9 0.77659 0.2406 0.95009 10 0.77515 0.24215 0.94944 11 0.7745 0.24284 0.94915 12 0.77424 0.24313 0.94903 13 0.77415 0.24322 0.94899 14 0.77409 0.24329 0.94896 15 0.77396 0.24342 0.94891 16 0.77392 0.24347 0.94889 17 0.77381 0.24359 0.94884 18 0.77372 0.24369 0.9488 19 0.77368 0.24373 0.94878 20 0.77368 0.24373 0.94878 21 0.7737 0.24371 0.94879 22 0.77374 0.24367 0.9488 23 0.77378 0.24362 0.94882 24 0.77384 0.24356 0.94885 25 0.7739 0.24349 0.94888 26 0.77395 0.24344 0.9489 27 0.77398 0.2434 0.94892 28 0.77401 0.24337 0.94893 29 0.77404 0.24334 0.94894 30 0.77407 0.24331 0.94895 Spar_sim 0.73501 0.28537 0.92978