Dati(1,1).t.ssglar_norm.mod(p,n).Mnpg n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: NaN% 69.5652% 65.2174% fit rms cod fit rms cod fit rms cod 1 NaN NaN NaN 0.92207 0.066936 0.99393 0.92419 0.065115 0.99425 2 NaN NaN NaN 0.84392 0.13407 0.97564 0.84861 0.13003 0.97708 3 NaN NaN NaN 0.77687 0.19166 0.95021 0.78342 0.18603 0.95309 4 NaN NaN NaN 0.71343 0.24615 0.91788 0.7212 0.23947 0.92227 5 NaN NaN NaN 0.65139 0.29944 0.87847 0.65972 0.29228 0.88421 6 NaN NaN NaN 0.59673 0.34639 0.83738 0.60464 0.3396 0.84369 7 NaN NaN NaN 0.55504 0.3822 0.80201 0.56149 0.37665 0.80771 8 NaN NaN NaN 0.52665 0.40658 0.77594 0.53165 0.40229 0.78065 9 NaN NaN NaN 0.50064 0.42893 0.75064 0.50348 0.42649 0.75347 10 NaN NaN NaN 0.47742 0.44887 0.72691 0.47826 0.44815 0.72779 11 NaN NaN NaN 0.45879 0.46487 0.70709 0.45927 0.46446 0.70761 12 NaN NaN NaN 0.4445 0.47715 0.69142 0.44681 0.47517 0.69398 13 NaN NaN NaN 0.43024 0.4894 0.67537 0.43604 0.48441 0.68195 14 NaN NaN NaN 0.4138 0.50352 0.65637 0.42422 0.49457 0.66847 15 NaN NaN NaN 0.39737 0.51763 0.63684 0.41248 0.50465 0.65482 16 NaN NaN NaN 0.38396 0.52915 0.62049 0.40315 0.51267 0.64377 17 NaN NaN NaN 0.37027 0.54091 0.60344 0.39257 0.52175 0.63103 18 NaN NaN NaN 0.35754 0.55184 0.58725 0.38071 0.53194 0.61648 19 NaN NaN NaN 0.34938 0.55885 0.5767 0.37071 0.54053 0.60399 20 NaN NaN NaN 0.34714 0.56077 0.57378 0.36573 0.5448 0.59771 21 NaN NaN NaN 0.34749 0.56048 0.57423 0.36366 0.54659 0.59507 22 NaN NaN NaN 0.34895 0.55922 0.57613 0.3627 0.54741 0.59385 23 NaN NaN NaN 0.3514 0.55712 0.57931 0.36275 0.54737 0.59391 24 NaN NaN NaN 0.3544 0.55454 0.5832 0.36429 0.54604 0.59587 25 NaN NaN NaN 0.35677 0.55251 0.58625 0.36506 0.54539 0.59685 26 NaN NaN NaN 0.35762 0.55177 0.58735 0.36316 0.54702 0.59443 27 NaN NaN NaN 0.35717 0.55216 0.58677 0.35848 0.55104 0.58845 28 NaN NaN NaN 0.35646 0.55277 0.58586 0.35281 0.55591 0.58114 29 NaN NaN NaN 0.35568 0.55344 0.58485 0.34611 0.56166 0.57243 30 NaN NaN NaN 0.35504 0.55399 0.58403 0.33761 0.56896 0.56123 Spar_sim NaN NaN NaN -246.2108 212.3422 -61112.197 0.28489 0.61424 0.48862 Dati(1,2).t.ssglar_norm.mod(p,n).Mnpg n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 73.913% 78.2609% 78.2609% fit rms cod fit rms cod fit rms cod 1 0.916 0.071784 0.99294 0.92285 0.06593 0.99405 0.92339 0.065466 0.99413 2 0.8916 0.092632 0.98825 0.8973 0.087768 0.98945 0.89825 0.086952 0.98965 3 0.87708 0.10505 0.98489 0.88369 0.099393 0.98647 0.88493 0.098333 0.98676 4 0.86382 0.11637 0.98146 0.87068 0.11052 0.98328 0.8723 0.10913 0.98369 5 0.85191 0.12655 0.97807 0.85885 0.12062 0.98008 0.8608 0.11896 0.98062 6 0.84404 0.13328 0.97568 0.85193 0.12653 0.97808 0.85409 0.12469 0.97871 7 0.83766 0.13873 0.97364 0.84671 0.13099 0.9765 0.84907 0.12898 0.97722 8 0.83193 0.14363 0.97175 0.84232 0.13475 0.97514 0.84481 0.13262 0.97592 9 0.82632 0.14842 0.96984 0.83826 0.13822 0.97384 0.84083 0.13602 0.97466 10 0.82169 0.15238 0.9682 0.8348 0.14118 0.97271 0.83744 0.13892 0.97357 11 0.81754 0.15593 0.96671 0.83162 0.14389 0.97165 0.83431 0.14159 0.97255 12 0.81377 0.15915 0.96532 0.8286 0.14647 0.97062 0.83133 0.14414 0.97155 13 0.81003 0.16234 0.96391 0.82528 0.14931 0.96947 0.82803 0.14696 0.97043 14 0.80631 0.16552 0.96249 0.82156 0.15249 0.96816 0.82426 0.15018 0.96912 15 0.80246 0.16881 0.96098 0.81755 0.15592 0.96671 0.82015 0.1537 0.96765 16 0.79876 0.17197 0.9595 0.81363 0.15927 0.96526 0.81608 0.15717 0.96617 17 0.79524 0.17498 0.95807 0.80965 0.16267 0.96377 0.81194 0.16071 0.96463 18 0.79234 0.17746 0.95688 0.80629 0.16554 0.96247 0.80843 0.16371 0.9633 19 0.78983 0.1796 0.95583 0.80328 0.16811 0.9613 0.80528 0.1664 0.96209 20 0.78759 0.18152 0.95488 0.80047 0.17052 0.96019 0.80229 0.16896 0.96091 21 0.78567 0.18316 0.95406 0.79805 0.17258 0.95922 0.79972 0.17116 0.95989 22 0.78399 0.18459 0.95334 0.79579 0.17451 0.9583 0.79729 0.17323 0.95891 23 0.78241 0.18594 0.95266 0.79362 0.17636 0.95741 0.79495 0.17523 0.95795 24 0.78104 0.18711 0.95206 0.79165 0.17805 0.95659 0.7928 0.17707 0.95707 25 0.77967 0.18829 0.95145 0.78962 0.17978 0.95574 0.79058 0.17897 0.95614 26 0.77863 0.18918 0.95099 0.788 0.18117 0.95505 0.78878 0.1805 0.95539 27 0.77764 0.19003 0.95055 0.78646 0.18248 0.9544 0.78708 0.18195 0.95467 28 0.77673 0.1908 0.95015 0.78503 0.1837 0.95379 0.78548 0.18332 0.95398 29 0.77586 0.19155 0.94976 0.7836 0.18493 0.95317 0.78388 0.18469 0.95329 30 0.77515 0.19215 0.94944 0.78238 0.18597 0.95264 0.78252 0.18586 0.9527 Spar_sim 0.75949 0.20553 0.94215 0.751 0.21279 0.938 0.74909 0.21442 0.93704 Dati(1,3).t.ssglar_norm.mod(p,n).Mnpg n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 13.0435% 17.3913% 17.3913% fit rms cod fit rms cod fit rms cod 1 0.94726 0.045208 0.99722 0.94752 0.044983 0.99725 0.94938 0.043386 0.99744 2 0.92299 0.066008 0.99407 0.92328 0.065759 0.99411 0.92584 0.063563 0.9945 3 0.90819 0.078689 0.99157 0.90728 0.079472 0.9914 0.91106 0.076236 0.99209 4 0.89534 0.089707 0.98905 0.89309 0.091632 0.98857 0.89883 0.086719 0.98976 5 0.88375 0.099638 0.98649 0.88092 0.10207 0.98582 0.88842 0.095636 0.98755 6 0.87474 0.10737 0.98431 0.87156 0.11009 0.9835 0.88076 0.1022 0.98578 7 0.86772 0.11338 0.9825 0.86419 0.11641 0.98156 0.87495 0.10719 0.98436 8 0.862 0.11829 0.98095 0.85828 0.12147 0.97992 0.87043 0.11106 0.98321 9 0.85731 0.1223 0.97964 0.85348 0.12558 0.97853 0.8668 0.11417 0.98226 10 0.85396 0.12517 0.97867 0.85006 0.12852 0.97752 0.86429 0.11632 0.98158 11 0.85166 0.12714 0.978 0.84769 0.13055 0.9768 0.86264 0.11774 0.98113 12 0.84998 0.12858 0.97749 0.84588 0.1321 0.97625 0.8615 0.11872 0.98082 13 0.8485 0.12986 0.97705 0.84415 0.13358 0.97571 0.8604 0.11965 0.98051 14 0.84727 0.13091 0.97667 0.84268 0.13484 0.97525 0.85943 0.12049 0.98024 15 0.8463 0.13174 0.97638 0.84155 0.13581 0.97489 0.85869 0.12112 0.98003 16 0.84529 0.1326 0.97607 0.84044 0.13676 0.97454 0.85798 0.12173 0.97983 17 0.84397 0.13374 0.97565 0.83907 0.13794 0.9741 0.85707 0.12251 0.97957 18 0.8427 0.13483 0.97526 0.8378 0.13903 0.97369 0.85626 0.12321 0.97934 19 0.8416 0.13577 0.97491 0.83665 0.14001 0.97332 0.85559 0.12377 0.97915 20 0.84076 0.13649 0.97464 0.83569 0.14083 0.973 0.85515 0.12416 0.97902 21 0.84014 0.13702 0.97444 0.83498 0.14144 0.97277 0.85489 0.12438 0.97894 22 0.83983 0.13729 0.97434 0.83459 0.14177 0.97264 0.85483 0.12443 0.97893 23 0.83943 0.13763 0.97422 0.83413 0.14217 0.97249 0.8547 0.12454 0.97889 24 0.83905 0.13795 0.9741 0.83368 0.14255 0.97234 0.85459 0.12464 0.97885 25 0.83879 0.13818 0.97401 0.83342 0.14278 0.97225 0.85456 0.12466 0.97885 26 0.83874 0.13822 0.97399 0.83334 0.14285 0.97222 0.85465 0.12459 0.97887 27 0.83853 0.1384 0.97393 0.83309 0.14306 0.97214 0.8546 0.12463 0.97886 28 0.83841 0.1385 0.97389 0.83289 0.14323 0.97207 0.8546 0.12463 0.97886 29 0.83842 0.1385 0.97389 0.83273 0.14337 0.97202 0.85463 0.1246 0.97887 30 0.83851 0.13842 0.97392 0.83268 0.14341 0.97201 0.85473 0.12452 0.9789 Spar_sim 0.83868 0.13827 0.97398 0.82711 0.14819 0.97011 0.85157 0.12722 0.97797 Dati(1,4).t.ssglar_norm.mod(p,n).Mnpg n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 86.9565% 82.6087% 82.6087% fit rms cod fit rms cod fit rms cod 1 0.93917 0.054794 0.9963 0.94669 0.048018 0.99716 0.94705 0.047689 0.9972 2 0.91816 0.073718 0.9933 0.93112 0.062039 0.99526 0.93207 0.061189 0.99538 3 0.90355 0.08687 0.9907 0.92026 0.071823 0.99364 0.92186 0.070379 0.99389 4 0.89478 0.094771 0.98893 0.91113 0.080046 0.9921 0.91331 0.078085 0.99248 5 0.88625 0.10246 0.98706 0.90406 0.086417 0.99079 0.9067 0.084037 0.99129 6 0.8794 0.10862 0.98546 0.89992 0.090138 0.98998 0.90299 0.087381 0.99059 7 0.87176 0.1155 0.98356 0.89693 0.092839 0.98938 0.90022 0.089873 0.99004 8 0.86523 0.12139 0.98184 0.89259 0.096748 0.98846 0.89602 0.093652 0.98919 9 0.85935 0.12668 0.98022 0.88352 0.10492 0.98643 0.88745 0.10137 0.98733 10 0.85471 0.13086 0.97889 0.87452 0.11302 0.98425 0.87913 0.10887 0.98539 11 0.85048 0.13468 0.97764 0.86767 0.11919 0.98249 0.87281 0.11456 0.98382 12 0.84718 0.13765 0.97665 0.86417 0.12234 0.98155 0.86956 0.11749 0.98299 13 0.84436 0.14019 0.97578 0.86162 0.12464 0.98085 0.86712 0.11968 0.98234 14 0.84185 0.14245 0.97499 0.85963 0.12643 0.9803 0.86527 0.12135 0.98185 15 0.83979 0.1443 0.97433 0.85808 0.12782 0.97986 0.86382 0.12266 0.98146 16 0.83804 0.14587 0.97377 0.85566 0.13001 0.97917 0.86151 0.12474 0.98082 17 0.83637 0.14738 0.97322 0.85101 0.1342 0.9778 0.85711 0.1287 0.97958 18 0.83498 0.14863 0.97277 0.84614 0.13858 0.97633 0.85268 0.13269 0.9783 19 0.83384 0.14966 0.97239 0.84244 0.14191 0.97518 0.84935 0.13569 0.97731 20 0.83294 0.15047 0.97209 0.84048 0.14368 0.97455 0.84756 0.1373 0.97676 21 0.83216 0.15117 0.97183 0.83923 0.14481 0.97415 0.84634 0.1384 0.97639 22 0.83152 0.15175 0.97162 0.83814 0.14579 0.9738 0.8453 0.13934 0.97607 23 0.83098 0.15224 0.97143 0.8369 0.1469 0.9734 0.84413 0.14039 0.97571 24 0.83049 0.15267 0.97127 0.83507 0.14855 0.9728 0.84238 0.14196 0.97516 25 0.83005 0.15307 0.97112 0.83239 0.15096 0.97191 0.83985 0.14425 0.97435 26 0.82968 0.15341 0.97099 0.82953 0.15354 0.97094 0.83721 0.14662 0.9735 27 0.82938 0.15367 0.97089 0.8274 0.15546 0.97021 0.83528 0.14836 0.97287 28 0.82915 0.15389 0.97081 0.82626 0.15649 0.96981 0.83423 0.14931 0.97252 29 0.82895 0.15406 0.97074 0.82561 0.15707 0.96959 0.83357 0.1499 0.9723 30 0.82878 0.15421 0.97069 0.82499 0.15763 0.96937 0.83293 0.15048 0.97209 Spar_sim 0.80714 0.17371 0.96281 0.7832 0.19527 0.953 0.7902 0.18896 0.95599 Dati(1,5).t.ssglar_norm.mod(p,n).Mnpg n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 30.4348% 21.7391% 21.7391% fit rms cod fit rms cod fit rms cod 1 0.95805 0.039841 0.99824 0.9588 0.039128 0.9983 0.95886 0.039071 0.99831 2 0.94513 0.052109 0.99699 0.94702 0.050322 0.99719 0.94727 0.050077 0.99722 3 0.9342 0.062493 0.99567 0.93702 0.059815 0.99603 0.93726 0.059584 0.99606 4 0.92189 0.074181 0.9939 0.9256 0.070659 0.99447 0.92586 0.070416 0.9945 5 0.90692 0.088399 0.99134 0.91186 0.083714 0.99223 0.91194 0.083636 0.99225 6 0.89447 0.10023 0.98886 0.90068 0.094327 0.99014 0.9007 0.094309 0.99014 7 0.88248 0.11161 0.98619 0.89 0.10447 0.9879 0.88985 0.10461 0.98787 8 0.87126 0.12227 0.98343 0.88011 0.11387 0.98563 0.87994 0.11402 0.98559 9 0.86002 0.13295 0.98041 0.8702 0.12328 0.98315 0.86979 0.12366 0.98305 10 0.84963 0.14281 0.97739 0.86127 0.13176 0.98075 0.86077 0.13224 0.98061 11 0.83986 0.15209 0.97435 0.85289 0.13971 0.97836 0.85232 0.14026 0.97819 12 0.82984 0.1616 0.97105 0.8442 0.14797 0.97573 0.84351 0.14862 0.97551 13 0.81981 0.17113 0.96753 0.83544 0.15629 0.97292 0.8346 0.15709 0.97264 14 0.80982 0.18063 0.96383 0.82662 0.16466 0.96994 0.82569 0.16555 0.96962 15 0.79991 0.19003 0.95996 0.81786 0.17299 0.96682 0.81684 0.17396 0.96645 16 0.79112 0.19839 0.95637 0.81013 0.18032 0.96395 0.80906 0.18134 0.96354 17 0.78213 0.20692 0.95253 0.8021 0.18795 0.96084 0.80094 0.18906 0.96038 18 0.77345 0.21517 0.94867 0.7943 0.19536 0.95769 0.79308 0.19652 0.95719 19 0.76494 0.22325 0.94475 0.78659 0.20268 0.95446 0.78539 0.20383 0.95394 20 0.75693 0.23086 0.94092 0.77929 0.20962 0.95129 0.77809 0.21076 0.95075 21 0.74905 0.23834 0.93702 0.77208 0.21647 0.94805 0.77084 0.21764 0.94749 22 0.74133 0.24567 0.93309 0.76498 0.22321 0.94477 0.76372 0.22441 0.94417 23 0.73383 0.2528 0.92915 0.75801 0.22983 0.94144 0.75673 0.23104 0.94082 24 0.72689 0.25938 0.92541 0.75159 0.23593 0.93829 0.75029 0.23716 0.93765 25 0.72009 0.26584 0.92165 0.74523 0.24196 0.93509 0.74395 0.24318 0.93444 26 0.71311 0.27248 0.91769 0.73865 0.24822 0.9317 0.73741 0.2494 0.93104 27 0.70657 0.27868 0.9139 0.73248 0.25407 0.92844 0.73122 0.25527 0.92776 28 0.70038 0.28457 0.91023 0.72664 0.25963 0.92527 0.72536 0.26084 0.92457 29 0.69401 0.29061 0.90637 0.72055 0.2654 0.92191 0.71928 0.26661 0.9212 30 0.68799 0.29633 0.90265 0.71483 0.27084 0.91868 0.71352 0.27208 0.91793 Spar_sim 0.5311 0.44534 0.78013 0.5583 0.4195 0.8049 0.51888 0.45695 0.76852 Dati(1,6).t.ssglar_norm.mod(p,n).Mnpg n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 82.6087% 82.6087% 73.913% fit rms cod fit rms cod fit rms cod 1 0.92094 0.067742 0.99375 0.92297 0.066006 0.99407 0.92204 0.066801 0.99392 2 0.85653 0.12293 0.97942 0.85913 0.12071 0.98015 0.85748 0.12212 0.97969 3 0.81193 0.16115 0.96463 0.81557 0.15802 0.96599 0.81213 0.16098 0.9647 4 0.77782 0.19037 0.95064 0.78167 0.18707 0.95233 0.77624 0.19173 0.94993 5 0.74985 0.21434 0.93742 0.75337 0.21133 0.93917 0.74628 0.2174 0.93563 6 0.72744 0.23355 0.92571 0.73026 0.23113 0.92724 0.72101 0.23906 0.92216 7 0.7102 0.24831 0.91602 0.71191 0.24685 0.91701 0.70048 0.25664 0.91029 8 0.69554 0.26087 0.90731 0.69651 0.26004 0.90789 0.68234 0.27219 0.89909 9 0.68255 0.27201 0.89923 0.683 0.27162 0.89951 0.66586 0.28631 0.88835 10 0.67173 0.28127 0.89224 0.67174 0.28127 0.89224 0.65151 0.2986 0.87856 11 0.66207 0.28955 0.8858 0.66193 0.28968 0.88571 0.63857 0.30969 0.86937 12 0.65342 0.29697 0.87988 0.65332 0.29705 0.87981 0.62679 0.31979 0.86071 13 0.64525 0.30396 0.87415 0.64518 0.30403 0.8741 0.61569 0.3293 0.8523 14 0.63769 0.31044 0.86873 0.6374 0.31069 0.86852 0.60514 0.33833 0.84409 15 0.63074 0.3164 0.86364 0.62982 0.31718 0.86297 0.59518 0.34687 0.83612 16 0.6245 0.32174 0.859 0.62251 0.32345 0.8575 0.58594 0.35478 0.82856 17 0.61868 0.32673 0.8546 0.61531 0.32962 0.85202 0.57725 0.36223 0.82129 18 0.61334 0.33131 0.8505 0.60848 0.33548 0.84671 0.56934 0.36901 0.81453 19 0.60863 0.33534 0.84683 0.60226 0.3408 0.8418 0.56232 0.37502 0.80844 20 0.60448 0.3389 0.84357 0.59648 0.34575 0.83717 0.55599 0.38045 0.80286 21 0.6008 0.34206 0.84064 0.59105 0.35041 0.83276 0.55016 0.38545 0.79764 22 0.59755 0.34484 0.83803 0.58596 0.35477 0.82857 0.54482 0.39002 0.79281 23 0.59474 0.34724 0.83577 0.58135 0.35872 0.82473 0.54009 0.39407 0.78848 24 0.59233 0.34931 0.8338 0.57724 0.36224 0.82128 0.53593 0.39764 0.78464 25 0.59016 0.35117 0.83203 0.57348 0.36546 0.81808 0.53217 0.40086 0.78113 26 0.58829 0.35277 0.83049 0.57012 0.36834 0.8152 0.5288 0.40375 0.77797 27 0.58668 0.35415 0.82917 0.56707 0.37096 0.81257 0.52578 0.40633 0.77512 28 0.58532 0.35532 0.82804 0.56435 0.37328 0.81021 0.52312 0.40861 0.77259 29 0.58411 0.35635 0.82704 0.56185 0.37543 0.80802 0.52072 0.41067 0.77029 30 0.58306 0.35726 0.82616 0.55958 0.37738 0.80603 0.51857 0.41251 0.76823 Spar_sim 0.57296 0.36591 0.81763 0.53742 0.39636 0.78602 0.50307 0.42579 0.75306 Dati(1,7).t.ssglar_norm.mod(p,n).Mnpg n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 52.1739% 82.6087% 39.1304% fit rms cod fit rms cod fit rms cod 1 0.93445 0.057129 0.9957 0.94186 0.05067 0.99662 0.93383 0.057673 0.99562 2 0.8997 0.087416 0.98994 0.91331 0.075556 0.99248 0.90145 0.085893 0.99029 3 0.87453 0.10935 0.98426 0.89651 0.090193 0.98929 0.88372 0.10134 0.98648 4 0.85408 0.12717 0.97871 0.88467 0.10051 0.9867 0.87065 0.11274 0.98327 5 0.83747 0.14165 0.97358 0.8754 0.1086 0.98447 0.85749 0.1242 0.97969 6 0.82323 0.15406 0.96875 0.86885 0.1143 0.9828 0.84765 0.13278 0.97679 7 0.81107 0.16466 0.9643 0.86364 0.11885 0.9814 0.84147 0.13816 0.97487 8 0.8004 0.17396 0.96016 0.85966 0.12231 0.9803 0.83627 0.1427 0.97319 9 0.79058 0.18252 0.95614 0.85565 0.1258 0.97916 0.83015 0.14803 0.97115 10 0.78186 0.19012 0.95242 0.85173 0.12923 0.97802 0.82406 0.15334 0.96904 11 0.77429 0.19671 0.94906 0.84845 0.13208 0.97703 0.81897 0.15777 0.96723 12 0.76775 0.20242 0.94606 0.84569 0.13449 0.97619 0.81455 0.16163 0.96561 13 0.76216 0.20729 0.94343 0.84348 0.13642 0.9755 0.81057 0.1651 0.96412 14 0.75727 0.21155 0.94108 0.84148 0.13815 0.97487 0.80707 0.16814 0.96278 15 0.75312 0.21517 0.93905 0.83992 0.13952 0.97437 0.80432 0.17054 0.96171 16 0.74942 0.21839 0.93721 0.83845 0.1408 0.9739 0.802 0.17256 0.9608 17 0.74602 0.22135 0.9355 0.83698 0.14208 0.97342 0.79993 0.17437 0.95997 18 0.74304 0.22395 0.93397 0.83563 0.14325 0.97298 0.7981 0.17597 0.95924 19 0.74043 0.22623 0.93262 0.83441 0.14431 0.97258 0.79653 0.17733 0.9586 20 0.73813 0.22823 0.93143 0.83327 0.14531 0.9722 0.79513 0.17855 0.95803 21 0.73612 0.22998 0.93037 0.83228 0.14617 0.97187 0.7939 0.17962 0.95752 22 0.73442 0.23146 0.92947 0.83143 0.14692 0.97158 0.79286 0.18053 0.95709 23 0.73299 0.23271 0.9287 0.83075 0.14751 0.97135 0.79201 0.18127 0.95674 24 0.7318 0.23375 0.92807 0.83024 0.14795 0.97118 0.79135 0.18185 0.95646 25 0.73074 0.23467 0.9275 0.82975 0.14838 0.97102 0.79077 0.18235 0.95622 26 0.72987 0.23543 0.92703 0.82937 0.14871 0.97089 0.7903 0.18276 0.95603 27 0.72916 0.23605 0.92665 0.82908 0.14896 0.97079 0.78992 0.1831 0.95586 28 0.7286 0.23654 0.92634 0.82887 0.14915 0.97071 0.78961 0.18336 0.95574 29 0.72813 0.23694 0.92609 0.82869 0.1493 0.97065 0.78936 0.18358 0.95563 30 0.72776 0.23727 0.92588 0.82854 0.14943 0.9706 0.78915 0.18376 0.95554 Spar_sim 0.715 0.24839 0.91877 0.80091 0.17351 0.96036 0.77087 0.1997 0.9475 Dati(1,8).t.ssglar_norm.mod(p,n).Mnpg n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: NaN% 43.4783% 65.2174% fit rms cod fit rms cod fit rms cod 1 NaN NaN NaN 0.93225 0.069744 0.99541 0.93236 0.069628 0.99543 2 NaN NaN NaN 0.88565 0.11772 0.98692 0.88099 0.12252 0.98584 3 NaN NaN NaN 0.84706 0.15744 0.97661 0.83623 0.16859 0.97318 4 NaN NaN NaN 0.81261 0.1929 0.96489 0.79723 0.20874 0.95889 5 NaN NaN NaN 0.78281 0.22358 0.95283 0.76536 0.24156 0.94494 6 NaN NaN NaN 0.75974 0.24733 0.94228 0.74137 0.26625 0.93311 7 NaN NaN NaN 0.74213 0.26547 0.9335 0.72298 0.28517 0.92326 8 NaN NaN NaN 0.7272 0.28083 0.92558 0.70769 0.30092 0.91456 9 NaN NaN NaN 0.71374 0.29469 0.91805 0.69444 0.31455 0.90664 10 NaN NaN NaN 0.70208 0.30669 0.91125 0.68337 0.32596 0.89974 11 NaN NaN NaN 0.69199 0.31708 0.90513 0.67416 0.33543 0.89383 12 NaN NaN NaN 0.68307 0.32627 0.89955 0.66642 0.3434 0.88872 13 NaN NaN NaN 0.67523 0.33433 0.89452 0.6599 0.35012 0.88433 14 NaN NaN NaN 0.66822 0.34155 0.88992 0.6543 0.35588 0.88049 15 NaN NaN NaN 0.66201 0.34795 0.88576 0.64954 0.36078 0.87718 16 NaN NaN NaN 0.65681 0.3533 0.88222 0.64568 0.36476 0.87445 17 NaN NaN NaN 0.65224 0.358 0.87906 0.6424 0.36814 0.87212 18 NaN NaN NaN 0.64833 0.36202 0.87633 0.63967 0.37094 0.87017 19 NaN NaN NaN 0.64516 0.36529 0.87409 0.63754 0.37314 0.86862 20 NaN NaN NaN 0.64258 0.36795 0.87225 0.63585 0.37487 0.8674 21 NaN NaN NaN 0.64045 0.37014 0.87072 0.63451 0.37626 0.86642 22 NaN NaN NaN 0.63879 0.37185 0.86953 0.63348 0.37731 0.86567 23 NaN NaN NaN 0.63746 0.37322 0.86856 0.63269 0.37813 0.86508 24 NaN NaN NaN 0.63638 0.37433 0.86778 0.63205 0.37879 0.86461 25 NaN NaN NaN 0.63554 0.37519 0.86717 0.63157 0.37929 0.86426 26 NaN NaN NaN 0.63491 0.37584 0.86671 0.63121 0.37965 0.864 27 NaN NaN NaN 0.63445 0.37632 0.86637 0.63096 0.37991 0.86381 28 NaN NaN NaN 0.63409 0.37668 0.86611 0.63078 0.3801 0.86367 29 NaN NaN NaN 0.63383 0.37696 0.86592 0.63065 0.38023 0.86358 30 NaN NaN NaN 0.63362 0.37717 0.86576 0.63055 0.38033 0.86351 Spar_sim NaN NaN NaN 0.60472 0.40692 0.84376 0.60934 0.40216 0.84739