Dati(1,1).t.sseh_ny_norm(p,n).Mnpe n=1000 p=25 Sparsit�: 39.1304% fit rms cod 1 0.70847 0.26043 0.91501 2 0.70847 0.26043 0.91501 3 0.70847 0.26043 0.91501 4 0.70847 0.26043 0.91501 5 0.70847 0.26043 0.91501 6 0.70847 0.26043 0.91501 7 0.70847 0.26043 0.91501 8 0.70847 0.26043 0.91501 9 0.70847 0.26043 0.91501 10 0.70847 0.26043 0.91501 11 0.70847 0.26043 0.91501 12 0.70847 0.26043 0.91501 13 0.70847 0.26043 0.91501 14 0.70847 0.26043 0.91501 15 0.70847 0.26043 0.91501 16 0.70847 0.26043 0.91501 17 0.70847 0.26043 0.91501 18 0.70847 0.26043 0.91501 19 0.70847 0.26043 0.91501 20 0.70847 0.26043 0.91501 21 0.70847 0.26043 0.91501 22 0.70847 0.26043 0.91501 23 0.70847 0.26043 0.91501 24 0.70847 0.26043 0.91501 25 0.70847 0.26043 0.91501 26 0.70847 0.26043 0.91501 27 0.70847 0.26043 0.91501 28 0.70847 0.26043 0.91501 29 0.70847 0.26043 0.91501 30 0.70847 0.26043 0.91501 Spar_sim 0.70314 0.26519 0.91187 Dati(1,2).t.sseh_ny_norm(p,n).Mnpe n=1000 p=25 Sparsit�: 39.1304% fit rms cod 1 0.87974 0.10452 0.98554 2 0.87974 0.10452 0.98554 3 0.87974 0.10452 0.98554 4 0.87974 0.10452 0.98554 5 0.87974 0.10452 0.98554 6 0.87974 0.10452 0.98554 7 0.87974 0.10452 0.98554 8 0.87974 0.10452 0.98554 9 0.87974 0.10452 0.98554 10 0.87974 0.10452 0.98554 11 0.87974 0.10452 0.98554 12 0.87974 0.10452 0.98554 13 0.87974 0.10452 0.98554 14 0.87974 0.10452 0.98554 15 0.87974 0.10452 0.98554 16 0.87974 0.10452 0.98554 17 0.87974 0.10452 0.98554 18 0.87974 0.10452 0.98554 19 0.87974 0.10452 0.98554 20 0.87974 0.10452 0.98554 21 0.87974 0.10452 0.98554 22 0.87974 0.10452 0.98554 23 0.87974 0.10452 0.98554 24 0.87974 0.10452 0.98554 25 0.87974 0.10452 0.98554 26 0.87974 0.10452 0.98554 27 0.87974 0.10452 0.98554 28 0.87974 0.10452 0.98554 29 0.87974 0.10452 0.98554 30 0.87974 0.10452 0.98554 Spar_sim 0.87724 0.1067 0.98493 Dati(1,3).t.sseh_ny_norm(p,n).Mnpe n=1000 p=25 Sparsit�: 34.7826% fit rms cod 1 0.92961 0.064438 0.99504 2 0.92961 0.064438 0.99504 3 0.92961 0.064438 0.99504 4 0.92961 0.064438 0.99504 5 0.92961 0.064438 0.99504 6 0.92961 0.064438 0.99504 7 0.92961 0.064438 0.99504 8 0.92961 0.064438 0.99504 9 0.92961 0.064438 0.99504 10 0.92961 0.064438 0.99504 11 0.92961 0.064438 0.99504 12 0.92961 0.064438 0.99504 13 0.92961 0.064438 0.99504 14 0.92961 0.064438 0.99504 15 0.92961 0.064438 0.99504 16 0.92961 0.064438 0.99504 17 0.92961 0.064438 0.99504 18 0.92961 0.064438 0.99504 19 0.92961 0.064438 0.99504 20 0.92961 0.064438 0.99504 21 0.92961 0.064438 0.99504 22 0.92961 0.064438 0.99504 23 0.92961 0.064438 0.99504 24 0.92961 0.064438 0.99504 25 0.92961 0.064438 0.99504 26 0.92961 0.064438 0.99504 27 0.92961 0.064438 0.99504 28 0.92961 0.064438 0.99504 29 0.92961 0.064438 0.99504 30 0.92961 0.064438 0.99504 Spar_sim 0.92571 0.068007 0.99448 Dati(1,4).t.sseh_ny_norm(p,n).Mnpe n=1000 p=25 Sparsit�: 60.8696% fit rms cod 1 0.91055 0.080525 0.992 2 0.91055 0.080525 0.992 3 0.91055 0.080525 0.992 4 0.91055 0.080525 0.992 5 0.91055 0.080525 0.992 6 0.91055 0.080525 0.992 7 0.91055 0.080525 0.992 8 0.91055 0.080525 0.992 9 0.91055 0.080525 0.992 10 0.91055 0.080525 0.992 11 0.91055 0.080525 0.992 12 0.91055 0.080525 0.992 13 0.91055 0.080525 0.992 14 0.91055 0.080525 0.992 15 0.91055 0.080525 0.992 16 0.91055 0.080525 0.992 17 0.91055 0.080525 0.992 18 0.91055 0.080525 0.992 19 0.91055 0.080525 0.992 20 0.91055 0.080525 0.992 21 0.91055 0.080525 0.992 22 0.91055 0.080525 0.992 23 0.91055 0.080525 0.992 24 0.91055 0.080525 0.992 25 0.91055 0.080525 0.992 26 0.91055 0.080525 0.992 27 0.91055 0.080525 0.992 28 0.91055 0.080525 0.992 29 0.91055 0.080525 0.992 30 0.91055 0.080525 0.992 Spar_sim 0.90648 0.084194 0.99125 Dati(1,5).t.sseh_ny_norm(p,n).Mnpe n=1000 p=25 Sparsit�: 39.1304% fit rms cod 1 0.46558 0.54295 0.71439 2 0.46558 0.54295 0.71439 3 0.46558 0.54295 0.71439 4 0.46558 0.54295 0.71439 5 0.46558 0.54295 0.71439 6 0.46558 0.54295 0.71439 7 0.46558 0.54295 0.71439 8 0.46558 0.54295 0.71439 9 0.46558 0.54295 0.71439 10 0.46558 0.54295 0.71439 11 0.46558 0.54295 0.71439 12 0.46558 0.54295 0.71439 13 0.46558 0.54295 0.71439 14 0.46558 0.54295 0.71439 15 0.46558 0.54295 0.71439 16 0.46558 0.54295 0.71439 17 0.46558 0.54295 0.71439 18 0.46558 0.54295 0.71439 19 0.46558 0.54295 0.71439 20 0.46558 0.54295 0.71439 21 0.46558 0.54295 0.71439 22 0.46558 0.54295 0.71439 23 0.46558 0.54295 0.71439 24 0.46558 0.54295 0.71439 25 0.46558 0.54295 0.71439 26 0.46558 0.54295 0.71439 27 0.46558 0.54295 0.71439 28 0.46558 0.54295 0.71439 29 0.46558 0.54295 0.71439 30 0.46558 0.54295 0.71439 Spar_sim 0.41214 0.59725 0.65442 Dati(1,6).t.sseh_ny_norm(p,n).Mnpe n=1000 p=25 Sparsit�: 34.7826% fit rms cod 1 0.84369 0.1371 0.97557 2 0.84369 0.1371 0.97557 3 0.84369 0.1371 0.97557 4 0.84369 0.1371 0.97557 5 0.84369 0.1371 0.97557 6 0.84369 0.1371 0.97557 7 0.84369 0.1371 0.97557 8 0.84369 0.1371 0.97557 9 0.84369 0.1371 0.97557 10 0.84369 0.1371 0.97557 11 0.84369 0.1371 0.97557 12 0.84369 0.1371 0.97557 13 0.84369 0.1371 0.97557 14 0.84369 0.1371 0.97557 15 0.84369 0.1371 0.97557 16 0.84369 0.1371 0.97557 17 0.84369 0.1371 0.97557 18 0.84369 0.1371 0.97557 19 0.84369 0.1371 0.97557 20 0.84369 0.1371 0.97557 21 0.84369 0.1371 0.97557 22 0.84369 0.1371 0.97557 23 0.84369 0.1371 0.97557 24 0.84369 0.1371 0.97557 25 0.84369 0.1371 0.97557 26 0.84369 0.1371 0.97557 27 0.84369 0.1371 0.97557 28 0.84369 0.1371 0.97557 29 0.84369 0.1371 0.97557 30 0.84369 0.1371 0.97557 Spar_sim 0.83887 0.14133 0.97404 Dati(1,7).t.sseh_ny_norm(p,n).Mnpe n=1000 p=25 Sparsit�: 26.087% fit rms cod 1 0.88583 0.10505 0.98697 2 0.88583 0.10505 0.98697 3 0.88583 0.10505 0.98697 4 0.88583 0.10505 0.98697 5 0.88583 0.10505 0.98697 6 0.88583 0.10505 0.98697 7 0.88583 0.10505 0.98697 8 0.88583 0.10505 0.98697 9 0.88583 0.10505 0.98697 10 0.88583 0.10505 0.98697 11 0.88583 0.10505 0.98697 12 0.88583 0.10505 0.98697 13 0.88583 0.10505 0.98697 14 0.88583 0.10505 0.98697 15 0.88583 0.10505 0.98697 16 0.88583 0.10505 0.98697 17 0.88583 0.10505 0.98697 18 0.88583 0.10505 0.98697 19 0.88583 0.10505 0.98697 20 0.88583 0.10505 0.98697 21 0.88583 0.10505 0.98697 22 0.88583 0.10505 0.98697 23 0.88583 0.10505 0.98697 24 0.88583 0.10505 0.98697 25 0.88583 0.10505 0.98697 26 0.88583 0.10505 0.98697 27 0.88583 0.10505 0.98697 28 0.88583 0.10505 0.98697 29 0.88583 0.10505 0.98697 30 0.88583 0.10505 0.98697 Spar_sim 0.87717 0.11302 0.98491 Dati(1,8).t.sseh_ny_norm(p,n).Mnpe n=1000 p=25 Sparsit�: 52.1739% fit rms cod 1 0.8382 0.17409 0.97382 2 0.8382 0.17409 0.97382 3 0.8382 0.17409 0.97382 4 0.8382 0.17409 0.97382 5 0.8382 0.17409 0.97382 6 0.8382 0.17409 0.97382 7 0.8382 0.17409 0.97382 8 0.8382 0.17409 0.97382 9 0.8382 0.17409 0.97382 10 0.8382 0.17409 0.97382 11 0.8382 0.17409 0.97382 12 0.8382 0.17409 0.97382 13 0.8382 0.17409 0.97382 14 0.8382 0.17409 0.97382 15 0.8382 0.17409 0.97382 16 0.8382 0.17409 0.97382 17 0.8382 0.17409 0.97382 18 0.8382 0.17409 0.97382 19 0.8382 0.17409 0.97382 20 0.8382 0.17409 0.97382 21 0.8382 0.17409 0.97382 22 0.8382 0.17409 0.97382 23 0.8382 0.17409 0.97382 24 0.8382 0.17409 0.97382 25 0.8382 0.17409 0.97382 26 0.8382 0.17409 0.97382 27 0.8382 0.17409 0.97382 28 0.8382 0.17409 0.97382 29 0.8382 0.17409 0.97382 30 0.8382 0.17409 0.97382 Spar_sim 0.83656 0.17585 0.97329