Dati(1,1).t.sseh_ny_norm(p,n).Mnpf n=500 p=25 Sparsit�: 26.087% fit rms cod 1 0.67216 0.2816 0.89252 2 0.67216 0.2816 0.89252 3 0.67216 0.2816 0.89252 4 0.67216 0.2816 0.89252 5 0.67216 0.2816 0.89252 6 0.67216 0.2816 0.89252 7 0.67216 0.2816 0.89252 8 0.67216 0.2816 0.89252 9 0.67216 0.2816 0.89252 10 0.67216 0.2816 0.89252 11 0.67216 0.2816 0.89252 12 0.67216 0.2816 0.89252 13 0.67216 0.2816 0.89252 14 0.67216 0.2816 0.89252 15 0.67216 0.2816 0.89252 16 0.67216 0.2816 0.89252 17 0.67216 0.2816 0.89252 18 0.67216 0.2816 0.89252 19 0.67216 0.2816 0.89252 20 0.67216 0.2816 0.89252 21 0.67216 0.2816 0.89252 22 0.67216 0.2816 0.89252 23 0.67216 0.2816 0.89252 24 0.67216 0.2816 0.89252 25 0.67216 0.2816 0.89252 26 0.67216 0.2816 0.89252 27 0.67216 0.2816 0.89252 28 0.67216 0.2816 0.89252 29 0.67216 0.2816 0.89252 30 0.67216 0.2816 0.89252 Spar_sim 0.65932 0.29263 0.88393 Dati(1,2).t.sseh_ny_norm(p,n).Mnpf n=500 p=25 Sparsit�: 43.4783% fit rms cod 1 0.86336 0.11677 0.98133 2 0.86336 0.11677 0.98133 3 0.86336 0.11677 0.98133 4 0.86336 0.11677 0.98133 5 0.86336 0.11677 0.98133 6 0.86336 0.11677 0.98133 7 0.86336 0.11677 0.98133 8 0.86336 0.11677 0.98133 9 0.86336 0.11677 0.98133 10 0.86336 0.11677 0.98133 11 0.86336 0.11677 0.98133 12 0.86336 0.11677 0.98133 13 0.86336 0.11677 0.98133 14 0.86336 0.11677 0.98133 15 0.86336 0.11677 0.98133 16 0.86336 0.11677 0.98133 17 0.86336 0.11677 0.98133 18 0.86336 0.11677 0.98133 19 0.86336 0.11677 0.98133 20 0.86336 0.11677 0.98133 21 0.86336 0.11677 0.98133 22 0.86336 0.11677 0.98133 23 0.86336 0.11677 0.98133 24 0.86336 0.11677 0.98133 25 0.86336 0.11677 0.98133 26 0.86336 0.11677 0.98133 27 0.86336 0.11677 0.98133 28 0.86336 0.11677 0.98133 29 0.86336 0.11677 0.98133 30 0.86336 0.11677 0.98133 Spar_sim 0.84734 0.13046 0.97669 Dati(1,3).t.sseh_ny_norm(p,n).Mnpf n=500 p=25 Sparsit�: 30.4348% fit rms cod 1 0.87798 0.10459 0.98511 2 0.87798 0.10459 0.98511 3 0.87798 0.10459 0.98511 4 0.87798 0.10459 0.98511 5 0.87798 0.10459 0.98511 6 0.87798 0.10459 0.98511 7 0.87798 0.10459 0.98511 8 0.87798 0.10459 0.98511 9 0.87798 0.10459 0.98511 10 0.87798 0.10459 0.98511 11 0.87798 0.10459 0.98511 12 0.87798 0.10459 0.98511 13 0.87798 0.10459 0.98511 14 0.87798 0.10459 0.98511 15 0.87798 0.10459 0.98511 16 0.87798 0.10459 0.98511 17 0.87798 0.10459 0.98511 18 0.87798 0.10459 0.98511 19 0.87798 0.10459 0.98511 20 0.87798 0.10459 0.98511 21 0.87798 0.10459 0.98511 22 0.87798 0.10459 0.98511 23 0.87798 0.10459 0.98511 24 0.87798 0.10459 0.98511 25 0.87798 0.10459 0.98511 26 0.87798 0.10459 0.98511 27 0.87798 0.10459 0.98511 28 0.87798 0.10459 0.98511 29 0.87798 0.10459 0.98511 30 0.87798 0.10459 0.98511 Spar_sim 0.87307 0.10879 0.98389 Dati(1,4).t.sseh_ny_norm(p,n).Mnpf n=500 p=25 Sparsit�: 52.1739% fit rms cod 1 0.92049 0.071619 0.99368 2 0.92049 0.071619 0.99368 3 0.92049 0.071619 0.99368 4 0.92049 0.071619 0.99368 5 0.92049 0.071619 0.99368 6 0.92049 0.071619 0.99368 7 0.92049 0.071619 0.99368 8 0.92049 0.071619 0.99368 9 0.92049 0.071619 0.99368 10 0.92049 0.071619 0.99368 11 0.92049 0.071619 0.99368 12 0.92049 0.071619 0.99368 13 0.92049 0.071619 0.99368 14 0.92049 0.071619 0.99368 15 0.92049 0.071619 0.99368 16 0.92049 0.071619 0.99368 17 0.92049 0.071619 0.99368 18 0.92049 0.071619 0.99368 19 0.92049 0.071619 0.99368 20 0.92049 0.071619 0.99368 21 0.92049 0.071619 0.99368 22 0.92049 0.071619 0.99368 23 0.92049 0.071619 0.99368 24 0.92049 0.071619 0.99368 25 0.92049 0.071619 0.99368 26 0.92049 0.071619 0.99368 27 0.92049 0.071619 0.99368 28 0.92049 0.071619 0.99368 29 0.92049 0.071619 0.99368 30 0.92049 0.071619 0.99368 Spar_sim 0.89461 0.094923 0.98889 Dati(1,5).t.sseh_ny_norm(p,n).Mnpf n=500 p=25 Sparsit�: 73.913% fit rms cod 1 0.44555 0.52658 0.69259 2 0.44555 0.52658 0.69259 3 0.44555 0.52658 0.69259 4 0.44555 0.52658 0.69259 5 0.44555 0.52658 0.69259 6 0.44555 0.52658 0.69259 7 0.44555 0.52658 0.69259 8 0.44555 0.52658 0.69259 9 0.44555 0.52658 0.69259 10 0.44555 0.52658 0.69259 11 0.44555 0.52658 0.69259 12 0.44555 0.52658 0.69259 13 0.44555 0.52658 0.69259 14 0.44555 0.52658 0.69259 15 0.44555 0.52658 0.69259 16 0.44555 0.52658 0.69259 17 0.44555 0.52658 0.69259 18 0.44555 0.52658 0.69259 19 0.44555 0.52658 0.69259 20 0.44555 0.52658 0.69259 21 0.44555 0.52658 0.69259 22 0.44555 0.52658 0.69259 23 0.44555 0.52658 0.69259 24 0.44555 0.52658 0.69259 25 0.44555 0.52658 0.69259 26 0.44555 0.52658 0.69259 27 0.44555 0.52658 0.69259 28 0.44555 0.52658 0.69259 29 0.44555 0.52658 0.69259 30 0.44555 0.52658 0.69259 Spar_sim 0.44498 0.52713 0.69195 Dati(1,6).t.sseh_ny_norm(p,n).Mnpf n=500 p=25 Sparsit�: 34.7826% fit rms cod 1 0.7932 0.17719 0.95724 2 0.7932 0.17719 0.95724 3 0.7932 0.17719 0.95724 4 0.7932 0.17719 0.95724 5 0.7932 0.17719 0.95724 6 0.7932 0.17719 0.95724 7 0.7932 0.17719 0.95724 8 0.7932 0.17719 0.95724 9 0.7932 0.17719 0.95724 10 0.7932 0.17719 0.95724 11 0.7932 0.17719 0.95724 12 0.7932 0.17719 0.95724 13 0.7932 0.17719 0.95724 14 0.7932 0.17719 0.95724 15 0.7932 0.17719 0.95724 16 0.7932 0.17719 0.95724 17 0.7932 0.17719 0.95724 18 0.7932 0.17719 0.95724 19 0.7932 0.17719 0.95724 20 0.7932 0.17719 0.95724 21 0.7932 0.17719 0.95724 22 0.7932 0.17719 0.95724 23 0.7932 0.17719 0.95724 24 0.7932 0.17719 0.95724 25 0.7932 0.17719 0.95724 26 0.7932 0.17719 0.95724 27 0.7932 0.17719 0.95724 28 0.7932 0.17719 0.95724 29 0.7932 0.17719 0.95724 30 0.7932 0.17719 0.95724 Spar_sim 0.77375 0.19386 0.94881 Dati(1,7).t.sseh_ny_norm(p,n).Mnpf n=500 p=25 Sparsit�: 47.8261% fit rms cod 1 0.89542 0.091145 0.98906 2 0.89542 0.091145 0.98906 3 0.89542 0.091145 0.98906 4 0.89542 0.091145 0.98906 5 0.89542 0.091145 0.98906 6 0.89542 0.091145 0.98906 7 0.89542 0.091145 0.98906 8 0.89542 0.091145 0.98906 9 0.89542 0.091145 0.98906 10 0.89542 0.091145 0.98906 11 0.89542 0.091145 0.98906 12 0.89542 0.091145 0.98906 13 0.89542 0.091145 0.98906 14 0.89542 0.091145 0.98906 15 0.89542 0.091145 0.98906 16 0.89542 0.091145 0.98906 17 0.89542 0.091145 0.98906 18 0.89542 0.091145 0.98906 19 0.89542 0.091145 0.98906 20 0.89542 0.091145 0.98906 21 0.89542 0.091145 0.98906 22 0.89542 0.091145 0.98906 23 0.89542 0.091145 0.98906 24 0.89542 0.091145 0.98906 25 0.89542 0.091145 0.98906 26 0.89542 0.091145 0.98906 27 0.89542 0.091145 0.98906 28 0.89542 0.091145 0.98906 29 0.89542 0.091145 0.98906 30 0.89542 0.091145 0.98906 Spar_sim 0.88439 0.10076 0.98663 Dati(1,8).t.sseh_ny_norm(p,n).Mnpf n=500 p=25 Sparsit�: 52.1739% fit rms cod 1 0.8301 0.17491 0.97113 2 0.8301 0.17491 0.97113 3 0.8301 0.17491 0.97113 4 0.8301 0.17491 0.97113 5 0.8301 0.17491 0.97113 6 0.8301 0.17491 0.97113 7 0.8301 0.17491 0.97113 8 0.8301 0.17491 0.97113 9 0.8301 0.17491 0.97113 10 0.8301 0.17491 0.97113 11 0.8301 0.17491 0.97113 12 0.8301 0.17491 0.97113 13 0.8301 0.17491 0.97113 14 0.8301 0.17491 0.97113 15 0.8301 0.17491 0.97113 16 0.8301 0.17491 0.97113 17 0.8301 0.17491 0.97113 18 0.8301 0.17491 0.97113 19 0.8301 0.17491 0.97113 20 0.8301 0.17491 0.97113 21 0.8301 0.17491 0.97113 22 0.8301 0.17491 0.97113 23 0.8301 0.17491 0.97113 24 0.8301 0.17491 0.97113 25 0.8301 0.17491 0.97113 26 0.8301 0.17491 0.97113 27 0.8301 0.17491 0.97113 28 0.8301 0.17491 0.97113 29 0.8301 0.17491 0.97113 30 0.8301 0.17491 0.97113 Spar_sim 0.82576 0.17937 0.96964