Dati(1,1).t.ssglar_norm.mod(p,n).Mnpc 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).Mnpc n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 73.913% 78.2609% 82.6087% fit rms cod fit rms cod fit rms cod 1 0.91579 0.071961 0.99291 0.92305 0.065757 0.99408 0.92361 0.065278 0.99417 2 0.89194 0.092346 0.98832 0.89678 0.088208 0.98935 0.89774 0.087391 0.98954 3 0.87785 0.10439 0.98508 0.88318 0.099829 0.98635 0.88429 0.098886 0.98661 4 0.86505 0.11532 0.98179 0.87008 0.11102 0.98312 0.87154 0.10978 0.9835 5 0.85327 0.12539 0.97847 0.85818 0.12119 0.97989 0.85993 0.1197 0.98038 6 0.84562 0.13193 0.97617 0.85119 0.12717 0.97786 0.85308 0.12555 0.97841 7 0.83955 0.13712 0.97426 0.84599 0.13161 0.97628 0.84801 0.12988 0.9769 8 0.83404 0.14183 0.97246 0.84133 0.1356 0.97482 0.84345 0.13378 0.97549 9 0.82863 0.14645 0.97063 0.8372 0.13912 0.9735 0.83937 0.13727 0.9742 10 0.82416 0.15027 0.96908 0.83367 0.14214 0.97233 0.83588 0.14025 0.97307 11 0.82017 0.15368 0.96766 0.83036 0.14497 0.97122 0.83261 0.14305 0.97198 12 0.8165 0.15681 0.96633 0.8272 0.14767 0.97014 0.82946 0.14574 0.97092 13 0.81286 0.15992 0.96498 0.82377 0.1506 0.96894 0.82601 0.14869 0.96973 14 0.80926 0.163 0.96362 0.81989 0.15392 0.96756 0.82205 0.15207 0.96833 15 0.80557 0.16616 0.9622 0.81563 0.15755 0.96601 0.81762 0.15585 0.96674 16 0.80201 0.1692 0.9608 0.81142 0.16116 0.96444 0.8132 0.15964 0.9651 17 0.79862 0.1721 0.95944 0.80712 0.16483 0.9628 0.80868 0.1635 0.9634 18 0.79584 0.17447 0.95832 0.80341 0.168 0.96135 0.80477 0.16684 0.96188 19 0.79344 0.17652 0.95733 0.80008 0.17084 0.96003 0.80123 0.16986 0.96049 20 0.79128 0.17836 0.95644 0.79693 0.17354 0.95876 0.79784 0.17276 0.95913 21 0.78946 0.17992 0.95567 0.79423 0.17584 0.95766 0.79494 0.17523 0.95795 22 0.78786 0.18129 0.955 0.79167 0.17803 0.9566 0.79217 0.1776 0.95681 23 0.78636 0.18257 0.95436 0.78923 0.18012 0.95558 0.78952 0.17987 0.9557 24 0.78506 0.18368 0.9538 0.78698 0.18204 0.95462 0.78706 0.18197 0.95466 25 0.78374 0.18481 0.95323 0.78466 0.18403 0.95363 0.78453 0.18414 0.95357 26 0.78275 0.18566 0.9528 0.78278 0.18563 0.95281 0.78245 0.18591 0.95267 27 0.7818 0.18647 0.95239 0.78098 0.18717 0.95203 0.78045 0.18762 0.9518 28 0.78094 0.1872 0.95201 0.77928 0.18862 0.95128 0.77856 0.18924 0.95096 29 0.7801 0.18792 0.95164 0.77758 0.19007 0.95053 0.77666 0.19086 0.95012 30 0.77942 0.1885 0.95134 0.77611 0.19133 0.94987 0.77501 0.19227 0.94938 Spar_sim 0.76379 0.20186 0.94421 0.74634 0.21677 0.93566 0.74342 0.21927 0.93416 Dati(1,3).t.ssglar_norm.mod(p,n).Mnpc n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 13.0435% 17.3913% 21.7391% fit rms cod fit rms cod fit rms cod 1 0.94726 0.045208 0.99722 0.94752 0.044983 0.99725 0.9483 0.04431 0.99733 2 0.92299 0.066008 0.99407 0.92328 0.065759 0.99411 0.92469 0.064549 0.99433 3 0.90819 0.078689 0.99157 0.90728 0.079472 0.9914 0.90939 0.077663 0.99179 4 0.89534 0.089707 0.98905 0.89309 0.091632 0.98857 0.89621 0.088963 0.98923 5 0.88375 0.099638 0.98649 0.88092 0.10207 0.98582 0.8853 0.098315 0.98684 6 0.87474 0.10737 0.98431 0.87156 0.11009 0.9835 0.87733 0.10515 0.98495 7 0.86772 0.11338 0.9825 0.86419 0.11641 0.98156 0.87133 0.11029 0.98344 8 0.862 0.11829 0.98096 0.85828 0.12147 0.97992 0.86683 0.11415 0.98226 9 0.85731 0.1223 0.97964 0.85348 0.12558 0.97853 0.86336 0.11712 0.98133 10 0.85396 0.12517 0.97867 0.85006 0.12852 0.97752 0.86109 0.11906 0.9807 11 0.85167 0.12714 0.978 0.84769 0.13055 0.9768 0.85974 0.12022 0.98033 12 0.84998 0.12858 0.97749 0.84588 0.1321 0.97625 0.85884 0.12099 0.98007 13 0.8485 0.12986 0.97705 0.84415 0.13358 0.97571 0.85797 0.12174 0.97983 14 0.84727 0.13091 0.97667 0.84268 0.13484 0.97525 0.85724 0.12236 0.97962 15 0.8463 0.13174 0.97638 0.84155 0.13581 0.97489 0.85675 0.12279 0.97948 16 0.84529 0.1326 0.97607 0.84044 0.13676 0.97454 0.85627 0.12319 0.97934 17 0.84397 0.13374 0.97566 0.83907 0.13794 0.9741 0.85563 0.12375 0.97916 18 0.8427 0.13483 0.97526 0.8378 0.13903 0.97369 0.85508 0.12421 0.979 19 0.8416 0.13577 0.97491 0.83665 0.14001 0.97332 0.85462 0.12461 0.97886 20 0.84076 0.13649 0.97464 0.83569 0.14083 0.973 0.85432 0.12487 0.97878 21 0.84014 0.13702 0.97444 0.83498 0.14144 0.97277 0.85419 0.12498 0.97874 22 0.83983 0.13729 0.97435 0.83459 0.14177 0.97264 0.85423 0.12494 0.97875 23 0.83943 0.13763 0.97422 0.83413 0.14217 0.97249 0.8542 0.12497 0.97874 24 0.83906 0.13795 0.9741 0.83368 0.14255 0.97234 0.85418 0.12499 0.97874 25 0.83879 0.13818 0.97401 0.83342 0.14278 0.97225 0.85425 0.12493 0.97876 26 0.83874 0.13822 0.974 0.83334 0.14285 0.97222 0.85441 0.12479 0.9788 27 0.83853 0.1384 0.97393 0.83309 0.14306 0.97214 0.85445 0.12475 0.97882 28 0.83842 0.1385 0.97389 0.83289 0.14323 0.97207 0.85451 0.1247 0.97883 29 0.83842 0.1385 0.97389 0.83273 0.14337 0.97202 0.85459 0.12463 0.97886 30 0.83851 0.13842 0.97392 0.83268 0.14341 0.97201 0.85473 0.12452 0.9789 Spar_sim 0.83869 0.13827 0.97398 0.82711 0.14819 0.97011 0.85166 0.12714 0.978 Dati(1,4).t.ssglar_norm.mod(p,n).Mnpc 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 0.94565 0.048956 0.99705 0.94656 0.048136 0.99714 2 0.91816 0.073718 0.9933 0.92872 0.064199 0.99492 0.93061 0.062497 0.99519 3 0.90355 0.08687 0.9907 0.91703 0.074728 0.99312 0.91995 0.072099 0.99359 4 0.89478 0.094771 0.98893 0.90769 0.083145 0.99148 0.91172 0.079513 0.99221 5 0.88625 0.10246 0.98706 0.90025 0.089843 0.99005 0.90545 0.085165 0.99106 6 0.8794 0.10862 0.98546 0.89581 0.093843 0.98914 0.90203 0.088238 0.9904 7 0.87176 0.1155 0.98356 0.89242 0.096897 0.98843 0.89981 0.09024 0.98996 8 0.86523 0.12139 0.98184 0.88823 0.10067 0.98751 0.89608 0.093597 0.9892 9 0.85935 0.12668 0.98022 0.87897 0.10901 0.98535 0.88783 0.10103 0.98742 10 0.85471 0.13086 0.97889 0.86939 0.11764 0.98294 0.88008 0.10801 0.98562 11 0.85048 0.13468 0.97764 0.8623 0.12403 0.98104 0.87464 0.11291 0.98429 12 0.84718 0.13765 0.97665 0.85912 0.12689 0.98015 0.87232 0.115 0.9837 13 0.84436 0.14019 0.97578 0.85744 0.12841 0.97968 0.87133 0.11589 0.98344 14 0.84185 0.14245 0.97499 0.85647 0.12928 0.9794 0.86986 0.11722 0.98306 15 0.83979 0.1443 0.97433 0.85581 0.12987 0.97921 0.86878 0.11819 0.98278 16 0.83804 0.14587 0.97377 0.85441 0.13113 0.9788 0.86693 0.11986 0.98229 17 0.83637 0.14738 0.97322 0.85079 0.13439 0.97774 0.86323 0.12319 0.98129 18 0.83498 0.14863 0.97277 0.84636 0.13839 0.97639 0.85934 0.1267 0.98021 19 0.83384 0.14966 0.97239 0.84267 0.14171 0.97525 0.85635 0.12939 0.97936 20 0.83294 0.15047 0.97209 0.84065 0.14353 0.97461 0.85472 0.13085 0.97889 21 0.83216 0.15117 0.97183 0.83954 0.14452 0.97425 0.85362 0.13184 0.97857 22 0.83152 0.15175 0.97162 0.83869 0.14529 0.97398 0.85222 0.1331 0.97816 23 0.83098 0.15224 0.97143 0.83765 0.14623 0.97364 0.85063 0.13454 0.97769 24 0.83049 0.15267 0.97127 0.83601 0.14771 0.97311 0.84853 0.13643 0.97706 25 0.83005 0.15307 0.97112 0.83337 0.15008 0.97224 0.84583 0.13886 0.97623 26 0.82968 0.15341 0.97099 0.83019 0.15295 0.97117 0.84301 0.1414 0.97536 27 0.82938 0.15367 0.97089 0.82742 0.15545 0.97021 0.84081 0.14338 0.97466 28 0.82915 0.15389 0.97081 0.82561 0.15707 0.96959 0.83946 0.14459 0.97423 29 0.82895 0.15406 0.97074 0.82455 0.15803 0.96922 0.8385 0.14546 0.97392 30 0.82878 0.15421 0.97069 0.82377 0.15873 0.96894 0.83736 0.14649 0.97355 Spar_sim 0.80714 0.17371 0.96281 0.77713 0.20074 0.95033 0.79141 0.18788 0.95649 Dati(1,5).t.ssglar_norm.mod(p,n).Mnpc 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).Mnpc n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 82.6087% 69.5652% 82.6087% fit rms cod fit rms cod fit rms cod 1 0.92094 0.067742 0.99375 0.92209 0.066755 0.99393 0.9223 0.06658 0.99396 2 0.85653 0.12293 0.97942 0.85763 0.12199 0.97973 0.85823 0.12148 0.9799 3 0.81193 0.16115 0.96463 0.81334 0.15994 0.96516 0.81526 0.1583 0.96587 4 0.77782 0.19037 0.95064 0.77903 0.18934 0.95117 0.78202 0.18678 0.95248 5 0.74985 0.21434 0.93742 0.74963 0.21453 0.93731 0.75358 0.21114 0.93928 6 0.72744 0.23355 0.92571 0.72512 0.23553 0.92444 0.72994 0.2314 0.92707 7 0.7102 0.24831 0.91602 0.70573 0.25215 0.9134 0.71156 0.24715 0.9168 8 0.69554 0.26087 0.90731 0.68957 0.26599 0.90363 0.69662 0.25995 0.90796 9 0.68255 0.27201 0.89923 0.67525 0.27826 0.89454 0.68359 0.27111 0.89988 10 0.67173 0.28127 0.89224 0.66348 0.28835 0.88675 0.67316 0.28005 0.89317 11 0.66207 0.28955 0.8858 0.65272 0.29756 0.8794 0.66391 0.28798 0.88704 12 0.65342 0.29697 0.87988 0.64275 0.30611 0.87237 0.65547 0.29521 0.8813 13 0.64525 0.30396 0.87415 0.63296 0.3145 0.86528 0.64726 0.30224 0.87557 14 0.63769 0.31044 0.86873 0.6234 0.32269 0.85818 0.63932 0.30905 0.86991 15 0.63074 0.3164 0.86364 0.61388 0.33085 0.85091 0.6316 0.31566 0.86428 16 0.6245 0.32174 0.859 0.60447 0.33891 0.84356 0.62408 0.3221 0.85869 17 0.61868 0.32673 0.8546 0.59489 0.34712 0.83588 0.61651 0.32859 0.85293 18 0.61334 0.33131 0.8505 0.58557 0.3551 0.82825 0.6092 0.33485 0.84728 19 0.60863 0.33534 0.84683 0.577 0.36245 0.82107 0.60249 0.34061 0.84198 20 0.60448 0.3389 0.84357 0.56889 0.3694 0.81414 0.59618 0.34601 0.83693 21 0.6008 0.34206 0.84064 0.56112 0.37605 0.80738 0.59018 0.35115 0.83205 22 0.59755 0.34484 0.83803 0.55371 0.3824 0.80083 0.58449 0.35603 0.82735 23 0.59474 0.34724 0.83577 0.54682 0.38831 0.79463 0.57925 0.36052 0.82297 24 0.59233 0.34931 0.8338 0.5405 0.39372 0.78886 0.5745 0.36459 0.81895 25 0.59016 0.35117 0.83203 0.53462 0.39876 0.78342 0.5701 0.36836 0.81519 26 0.58829 0.35277 0.83049 0.52933 0.40329 0.77847 0.56619 0.37171 0.81181 27 0.58668 0.35415 0.82917 0.52451 0.40742 0.77391 0.56266 0.37473 0.80873 28 0.58532 0.35532 0.82804 0.52017 0.41114 0.76976 0.55951 0.37743 0.80597 29 0.58411 0.35635 0.82704 0.51609 0.41464 0.76583 0.55652 0.37999 0.80333 30 0.58306 0.35726 0.82616 0.51233 0.41786 0.76218 0.55377 0.38235 0.80088 Spar_sim 0.57296 0.36591 0.81763 0.4823 0.44359 0.73199 0.52878 0.40377 0.77795 Dati(1,7).t.ssglar_norm.mod(p,n).Mnpc n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: 47.8261% 82.6087% 39.1304% fit rms cod fit rms cod fit rms cod 1 0.93885 0.053298 0.99626 0.94186 0.05067 0.99662 0.93383 0.057673 0.99562 2 0.91006 0.078388 0.99191 0.91331 0.075556 0.99248 0.90145 0.085893 0.99029 3 0.89217 0.093976 0.98837 0.89651 0.090193 0.98929 0.88372 0.10134 0.98648 4 0.87674 0.10742 0.98481 0.88467 0.10051 0.9867 0.87065 0.11274 0.98327 5 0.86262 0.11973 0.98113 0.8754 0.1086 0.98447 0.85749 0.1242 0.97969 6 0.85155 0.12938 0.97796 0.86885 0.1143 0.9828 0.84765 0.13278 0.97679 7 0.843 0.13683 0.97535 0.86364 0.11885 0.9814 0.84147 0.13816 0.97487 8 0.83559 0.14329 0.97297 0.85966 0.12231 0.9803 0.83627 0.1427 0.97319 9 0.82834 0.14961 0.97053 0.85565 0.1258 0.97916 0.83015 0.14803 0.97115 10 0.82163 0.15546 0.96818 0.85173 0.12923 0.97802 0.82406 0.15334 0.96904 11 0.81577 0.16056 0.96606 0.84845 0.13208 0.97703 0.81897 0.15777 0.96723 12 0.81057 0.16509 0.96412 0.84569 0.13449 0.97619 0.81455 0.16163 0.96561 13 0.80616 0.16894 0.96242 0.84348 0.13642 0.9755 0.81057 0.1651 0.96412 14 0.80207 0.17251 0.96082 0.84148 0.13815 0.97487 0.80707 0.16814 0.96278 15 0.7987 0.17544 0.95948 0.83992 0.13952 0.97437 0.80432 0.17054 0.96171 16 0.79558 0.17816 0.95821 0.83845 0.1408 0.9739 0.802 0.17256 0.9608 17 0.79259 0.18077 0.95698 0.83698 0.14208 0.97342 0.79993 0.17437 0.95997 18 0.78992 0.18309 0.95587 0.83563 0.14325 0.97298 0.7981 0.17597 0.95924 19 0.78754 0.18516 0.95486 0.83441 0.14431 0.97258 0.79653 0.17733 0.9586 20 0.78537 0.18706 0.95394 0.83327 0.14531 0.9722 0.79513 0.17855 0.95803 21 0.78341 0.18877 0.95309 0.83228 0.14617 0.97187 0.7939 0.17962 0.95752 22 0.7817 0.19025 0.95235 0.83143 0.14692 0.97158 0.79286 0.18053 0.95709 23 0.78023 0.19154 0.9517 0.83075 0.14751 0.97135 0.79201 0.18127 0.95674 24 0.779 0.19261 0.95116 0.83024 0.14795 0.97118 0.79135 0.18185 0.95646 25 0.77789 0.19358 0.95067 0.82975 0.14838 0.97102 0.79077 0.18235 0.95622 26 0.77698 0.19437 0.95026 0.82937 0.14871 0.97089 0.7903 0.18276 0.95603 27 0.77621 0.19504 0.94992 0.82908 0.14896 0.97079 0.78992 0.1831 0.95586 28 0.77561 0.19556 0.94965 0.82887 0.14915 0.97071 0.78961 0.18336 0.95574 29 0.77511 0.196 0.94942 0.82869 0.1493 0.97065 0.78936 0.18358 0.95563 30 0.77466 0.19639 0.94922 0.82854 0.14943 0.9706 0.78915 0.18376 0.95554 Spar_sim 0.76187 0.20754 0.94329 0.80091 0.17351 0.96036 0.77087 0.1997 0.9475 Dati(1,8).t.ssglar_norm.mod(p,n).Mnpc n=1000 p=5 n=1000 p=25 n=1000 p=40 Sparsit�: NaN% 69.5652% 69.5652% fit rms cod fit rms cod fit rms cod 1 NaN NaN NaN 0.93162 0.070398 0.99532 0.93259 0.069398 0.99546 2 NaN NaN NaN 0.87712 0.1265 0.9849 0.88046 0.12306 0.98571 3 NaN NaN NaN 0.82827 0.17679 0.97051 0.83393 0.17096 0.97242 4 NaN NaN NaN 0.78631 0.21998 0.95434 0.79437 0.21169 0.95771 5 NaN NaN NaN 0.7509 0.25644 0.93795 0.76296 0.24402 0.94381 6 NaN NaN NaN 0.7236 0.28454 0.9236 0.73943 0.26824 0.93211 7 NaN NaN NaN 0.7017 0.30709 0.91102 0.72258 0.28559 0.92304 8 NaN NaN NaN 0.68355 0.32577 0.89986 0.70976 0.29879 0.91576 9 NaN NaN NaN 0.66645 0.34337 0.88874 0.69686 0.31206 0.90811 10 NaN NaN NaN 0.65069 0.3596 0.87798 0.68389 0.32542 0.90008 11 NaN NaN NaN 0.63607 0.37465 0.86755 0.6709 0.33879 0.8917 12 NaN NaN NaN 0.62233 0.38879 0.85737 0.65761 0.35247 0.88277 13 NaN NaN NaN 0.60938 0.40213 0.84741 0.6447 0.36577 0.87376 14 NaN NaN NaN 0.59728 0.41458 0.83782 0.63256 0.37826 0.86499 15 NaN NaN NaN 0.58607 0.42612 0.82866 0.6216 0.38954 0.85681 16 NaN NaN NaN 0.57615 0.43634 0.82035 0.61242 0.39899 0.84978 17 NaN NaN NaN 0.56715 0.4456 0.81264 0.60437 0.40728 0.84348 18 NaN NaN NaN 0.55917 0.45382 0.80567 0.59725 0.41461 0.83779 19 NaN NaN NaN 0.55231 0.46087 0.79958 0.59106 0.42098 0.83277 20 NaN NaN NaN 0.54647 0.46688 0.79431 0.58557 0.42664 0.82825 21 NaN NaN NaN 0.54143 0.47207 0.78972 0.58064 0.43171 0.82414 22 NaN NaN NaN 0.53722 0.47641 0.78584 0.57639 0.43608 0.82056 23 NaN NaN NaN 0.53366 0.48008 0.78253 0.57278 0.4398 0.81748 24 NaN NaN NaN 0.53064 0.48319 0.7797 0.56979 0.44288 0.81492 25 NaN NaN NaN 0.52813 0.48577 0.77734 0.56744 0.44529 0.8129 26 NaN NaN NaN 0.52612 0.48784 0.77544 0.56571 0.44708 0.81139 27 NaN NaN NaN 0.52454 0.48947 0.77394 0.56447 0.44835 0.81032 28 NaN NaN NaN 0.52327 0.49077 0.77273 0.56359 0.44927 0.80954 29 NaN NaN NaN 0.52229 0.49178 0.77179 0.56297 0.4499 0.80901 30 NaN NaN NaN 0.52151 0.49258 0.77105 0.56255 0.45033 0.80864 Spar_sim NaN NaN NaN 0.50335 0.51128 0.75334 0.54093 0.47259 0.78926