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Hello, ive got this code in Wolfram Mathematica, Multiply all the eigenvectors with the matrix centered, then look for the relationship between the variance and
Hello, ive got this code in Wolfram Mathematica,
Multiply all the eigenvectors with the matrix centered, then look for the relationship between the variance and the eigenvalues:
Use all the eigenvectors to compare each of the matrices that were obtained.
Hope someone can help. Program works, its only to do as says there.
If need the .mlx file, can provide email or something so i can send it in order to answer the question easier. Please, its urgent.
n = 0.0050
xt = 3200 11.9323 7.4110 4.4856 2.7344 5.0583 12.1073 4.0238 4.7242 3.4837 5.7772 6.7111 15.1145 8.3608 9.8607 6.2279 8.7401 5.1434 8.2490 6.3061 6.1529 10.0837 5.0976 5.7000 7.9395 7.1329 5.1510 4.4839 9.0543 9.0651 5.3080 7.7360 9.9956 8.3548 1.2468 7.1301 2.0813 14.5927 7.7442 7.1938 11.3497 4.1427 4.3498 6.3604 7.5805 4.0682 8.4465 9.5111 4.9669 8.2582 9.3853 1.8029 0.6233 2.5329 4.5661 1.8482 6.3975 2.8631 0.2169 1.5001 2.7547 3.3183 5.0567 4.3600 4.9030 5.7700 6.8128 4.1344 5.3114 7.7653 3.8609 5.4999 2.4581 3.5894 7.6470 2.8903 3.7026 2.8493 4.9531 4.1478 4.2992 4.3070 1.8183 5.6301 0.6977 3.7762 5.0978 4.8967 4.4941 3.5029 4.5143 3.2410 2.5452 3.7415 4.9972 4.1910 3.8271 6.5066 2.4292 3.4272 2.8629 4.7313 4.4781 1.6769 4.5902 2.7766 5.5261 2.1378 3.5828 1.4543 1.3248 4.7716 4.2225 3.2760 2.8366 2.3258 4.3667 2.4280 3.6139 4.4790 3.5756 3.1643 3.4621 3.0100 2.3969 3.2354 2.9141 3.6954 3.0425 4.8800 2.9967 3.2984 3.4732 5.0183 1.9467 4.8077 1.8364 5.2674 4.7849 2.8812 5.7208 2.4901 4.2572 4.4878 3.2057 2.0249 4.5439 4.8569 2.4886 3.2190 4.7670
m = 31 7.8484 4.2162 3.8153
mt = 13 7.8484 4.2162 3.8153
matrizdatoscentrados = 2003 4.0840 -2.4132 0.9161 -0.4374 -3.5929 0.6628 -3.3628 -1.6833 -2.1383 -5.1139 0.3499 0.7749 -2.7901 -2.3680 -1.0387 4.2590 2.1813 1.7109 -3.8246 -1.3531 -1.6774 -3.1241 -3.9992 -0.2325 -4.3646 -2.7160 -2.3610 -2.0711 -1.4615 -2.4905
matrizdatoscentradost = 3200 4.0840 -0.4374 -3.3628 -5.1139 -2.7901 4.2590 -3.8246 -3.1241 -4.3646 -2.0711 -1.1373 7.2661 0.5125 2.0123 -1.6205 0.8917 -2.7049 0.4007 -1.5422 -1.6955 2.2353 -2.7508 -2.1483 0.0912 -0.7155 -2.6973 -3.3645 1.2060 1.2168 -2.5403 -0.1123 2.1473 0.5065 -6.6016 -0.7182 -5.7671 6.7443 -0.1042 -0.6546 3.5013 -3.7057 -3.4986 -1.4880 -0.2679 -3.7801 0.5982 1.6628 -2.8815 0.4099 1.5369 -2.4132 -3.5929 -1.6833 0.3499 -2.3680 2.1813 -1.3531 -3.9992 -2.7160 -1.4615 -0.8979 0.8405 0.1439 0.6868 1.5538 2.5966 -0.0818 1.0952 3.5492 -0.3553 1.2838 -1.7580 -0.6267 3.4308 -1.3259 -0.5136 -1.3669 0.7369 -0.0683 0.0830 0.0909 -2.3978 1.4140 -3.5185 -0.4399 0.8816 0.6805 0.2779 -0.7133 0.2982 -0.9751 -1.6710 -0.4747 0.7810 -0.0251 -0.3891 2.2904 -1.7870 -0.7889 -1.3532 0.9161 0.6628 -2.1383 0.7749 -1.0387 1.7109 -1.6774 -0.2325 -2.3610 -2.4905 0.9563 0.4072 -0.5393 -0.9786 -1.4894 0.5514 -1.3873 -0.2013 0.6637 -0.2396 -0.6510 -0.3532 -0.8053 -1.4184 -0.5799 -0.9011 -0.1199 -0.7728 1.0648 -0.8185 -0.5168 -0.3421 1.2031 -1.8686 0.9925 -1.9789 1.4522 0.9697 -0.9340 1.9055 -1.3252 0.4419 0.6726 -0.6096 -1.7904 0.7287 1.0416 -1.3267 -0.5963 0.9517
y = 33 103 1.7621 0.4569 0.5776 0.4569 0.7837 0.1673 0.5776 0.1673 0.3839
s = 33 8.8107 2.2844 2.8878 2.2844 3.9184 0.8364 2.8878 0.8364 1.9196
j = 33 -0.3412 0.3169 0.8850 -0.0022 -0.9417 0.3363 0.9400 0.1128 0.3220
g = 33 0.8694 0 0 0 3.0496 0 0 0 10.7297
a = 33 -0.3412 0.3169 0.8850 -0.0022 -0.9417 0.3363 0.9400 0.1128 0.3220
b = 31 2.7480 1.0450 1.0000
mult = 2001 9.6169 -4.2937 -13.1382 -12.9125 -11.1803 15.6940 -13.6013 -12.9967 -17.1933 -9.7092
res = 2001 26.0067 24.7726 22.8340 22.7248 21.7964 21.2528 20.6967 20.5056 20.3000 19.1064
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