3 variables 90 observations for check of v[ 0][ 0] = -0.3045 for check of v[ 0][ 1] = 0.3265 for check of v[ 0][ 2] = -0.2105 for check of v[ 0][ 3] = 0.2872 for check of v[ 0][ 4] = 0.5240 for check of v[ 0][ 5] = 0.6298 for check of v[ 0][ 6] = -0.0507 for check of v[ 1][ 0] = -0.2050 for check of v[ 1][ 1] = 0.4177 for check of v[ 1][ 2] = -0.3657 for check of v[ 1][ 3] = 0.3446 for check of v[ 1][ 4] = -0.3638 for check of v[ 1][ 5] = -0.3354 for check of v[ 1][ 6] = -0.5350 for check of v[ 2][ 0] = -0.3992 for check of v[ 2][ 1] = -0.0704 for check of v[ 2][ 2] = -0.6590 for check of v[ 2][ 3] = -0.3033 for check of v[ 2][ 4] = -0.2182 for check of v[ 2][ 5] = -0.0158 for check of v[ 2][ 6] = 0.5114 for check of v[ 3][ 0] = 0.2377 for check of v[ 3][ 1] = 0.3345 for check of v[ 3][ 2] = -0.2369 for check of v[ 3][ 3] = -0.5237 for check of v[ 3][ 4] = 0.5727 for check of v[ 3][ 5] = -0.3875 for check of v[ 3][ 6] = -0.1520 for check of v[ 4][ 0] = 0.1517 for check of v[ 4][ 1] = 0.1514 for check of v[ 4][ 2] = -0.0143 for check of v[ 4][ 3] = -0.5769 for check of v[ 4][ 4] = -0.4058 for check of v[ 4][ 5] = 0.5604 for check of v[ 4][ 6] = -0.3771 for check of v[ 5][ 0] = 0.3253 for check of v[ 5][ 1] = 0.7193 for check of v[ 5][ 2] = 0.1660 for check of v[ 5][ 3] = 0.1075 for check of v[ 5][ 4] = -0.2297 for check of v[ 5][ 5] = 0.0250 for check of v[ 5][ 6] = 0.5332 for check of v[ 6][ 0] = -0.7215 for check of v[ 6][ 1] = 0.2488 for check of v[ 6][ 2] = 0.5512 for check of v[ 6][ 3] = -0.2968 for check of v[ 6][ 4] = 0.0026 for check of v[ 6][ 5] = -0.1603 for check of v[ 6][ 6] = 0.0015 for i= 0 and j= 0 check summation of Vki*Vkj = 1.0000 for i= 0 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 0 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 0 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 1 check summation of Vki*Vkj = 1.0000 for i= 1 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 2 check summation of Vki*Vkj = 1.0000 for i= 2 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 3 check summation of Vki*Vkj = 1.0000 for i= 3 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 4 check summation of Vki*Vkj = 1.0000 for i= 4 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 5 check summation of Vki*Vkj = 1.0000 for i= 5 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 6 check summation of Vki*Vkj = 1.0000 w[ 0] = 13.1039 sigma[0] **2 = 279.1808 w[ 1] = 1.9579 sigma[1] **2 = 140.8351 w[ 2] = 1.0628 sigma[2] **2 = 54.6546 w[ 3] = 0.6386 sigma[3] **2 = 310.8307 w[ 4] = 0.0332 sigma[4] **2 = 179.5220 w[ 5] = 0.1163 sigma[5] **2 = 59.8996 w[ 6] = 0.1558 sigma[6] **2 = 2.4116 epsilon/y for data i = 0 is = 0.4759 epsilon/y for data i = 1 is = -0.0525 epsilon/y for data i = 2 is = -1.2934 epsilon/y for data i = 3 is = -11.5481 epsilon/y for data i = 4 is = 0.5132 epsilon/y for data i = 5 is = -0.4747 epsilon/y for data i = 6 is = -4.6483 epsilon/y for data i = 7 is = 0.5758 epsilon/y for data i = 8 is = -0.8897 epsilon/y for data i = 9 is = -0.1950 epsilon/y for data i = 10 is = 0.5250 epsilon/y for data i = 11 is = 0.3762 epsilon/y for data i = 12 is = 0.5257 epsilon/y for data i = 13 is = -0.4394 epsilon/y for data i = 14 is = -1.2328 epsilon/y for data i = 15 is = -0.4753 epsilon/y for data i = 16 is = 0.9025 epsilon/y for data i = 17 is = 0.0701 epsilon/y for data i = 18 is = 0.4308 epsilon/y for data i = 19 is = 3.2460 epsilon/y for data i = 20 is = 0.3371 epsilon/y for data i = 21 is = 0.2880 epsilon/y for data i = 22 is = -0.4199 epsilon/y for data i = 23 is = -0.3261 epsilon/y for data i = 24 is = -0.5769 epsilon/y for data i = 25 is = -0.2515 epsilon/y for data i = 26 is = -0.1112 epsilon/y for data i = 27 is = 0.0232 epsilon/y for data i = 28 is = -0.1151 epsilon/y for data i = 29 is = -0.0293 epsilon/y for data i = 30 is = -0.2015 epsilon/y for data i = 31 is = 120.6325 epsilon/y for data i = 32 is = -5.7176 epsilon/y for data i = 33 is = -0.7047 epsilon/y for data i = 34 is = -0.5516 epsilon/y for data i = 35 is = -0.8382 epsilon/y for data i = 36 is = 0.0113 epsilon/y for data i = 37 is = 0.0535 epsilon/y for data i = 38 is = 0.0511 epsilon/y for data i = 39 is = -0.1305 epsilon/y for data i = 40 is = 0.0151 epsilon/y for data i = 41 is = -0.0900 epsilon/y for data i = 42 is = 0.0704 epsilon/y for data i = 43 is = -0.7453 epsilon/y for data i = 44 is = -1.8912 epsilon/y for data i = 45 is = -5.0193 epsilon/y for data i = 46 is = -1.5954 epsilon/y for data i = 47 is = 0.0540 epsilon/y for data i = 48 is = 0.4121 epsilon/y for data i = 49 is = 0.0433 epsilon/y for data i = 50 is = 0.0381 epsilon/y for data i = 51 is = -0.1160 epsilon/y for data i = 52 is = 0.0511 epsilon/y for data i = 53 is = -0.0184 epsilon/y for data i = 54 is = 0.0470 epsilon/y for data i = 55 is = 0.0976 epsilon/y for data i = 56 is = 0.6529 epsilon/y for data i = 57 is = 0.0344 epsilon/y for data i = 58 is = 0.0119 epsilon/y for data i = 59 is = -0.4976 epsilon/y for data i = 60 is = 0.0155 epsilon/y for data i = 61 is = -1.1593 epsilon/y for data i = 62 is = -0.0180 epsilon/y for data i = 63 is = 0.0640 epsilon/y for data i = 64 is = -0.0343 epsilon/y for data i = 65 is = -1.3728 epsilon/y for data i = 66 is = 0.3405 epsilon/y for data i = 67 is = 0.0683 epsilon/y for data i = 68 is = -0.1322 epsilon/y for data i = 69 is = -0.0345 epsilon/y for data i = 70 is = 0.0414 epsilon/y for data i = 71 is = 0.0200 epsilon/y for data i = 72 is = 0.3536 epsilon/y for data i = 73 is = 0.0483 epsilon/y for data i = 74 is = 0.0377 epsilon/y for data i = 75 is = 0.0263 epsilon/y for data i = 76 is = 0.0856 epsilon/y for data i = 77 is = 0.0892 epsilon/y for data i = 78 is = 0.0314 epsilon/y for data i = 79 is = 0.0134 epsilon/y for data i = 80 is = -0.5849 epsilon/y for data i = 81 is = 0.0207 epsilon/y for data i = 82 is = 0.0803 epsilon/y for data i = 83 is = 0.0694 epsilon/y for data i = 84 is = -0.0712 epsilon/y for data i = 85 is = 0.1168 epsilon/y for data i = 86 is = 0.0772 epsilon/y for data i = 87 is = 0.0598 epsilon/y for data i = 88 is = 0.0241 epsilon/y for data i = 89 is = -2.1544 SSresid = 265.6244 standard residiance = 1.7179588934 mean y = 0.8082 SSto = 6.5147 standard variance of y = 0.2690 F = -14.6321 standard deviation = 1.7889 R ** 2 = -39.7730 adjusted R ** 2 = -39.7730 ------------------------------------------ a[0]=-2.91368 a[1]=1.56051 a[2]=-0.0121038 a[3]=-3.68373 a[4]=2.1426 a[5]=0.00959713 a[6]=0.849638 a[7] has w == 0 r = 0.296192; r^2 = 0.0877297; t = 2.90906 more iteration, 0 percentage of old epsilon reserved for check of v[ 0][ 0] = -0.1186 for check of v[ 0][ 1] = 0.3177 for check of v[ 0][ 2] = -0.2495 for check of v[ 0][ 3] = 0.2766 for check of v[ 0][ 4] = -0.3160 for check of v[ 0][ 5] = 0.6366 for check of v[ 0][ 6] = -0.4912 for check of v[ 1][ 0] = -0.0740 for check of v[ 1][ 1] = 0.2211 for check of v[ 1][ 2] = -0.3433 for check of v[ 1][ 3] = 0.4665 for check of v[ 1][ 4] = -0.5276 for check of v[ 1][ 5] = -0.4152 for check of v[ 1][ 6] = 0.3993 for check of v[ 2][ 0] = -0.1666 for check of v[ 2][ 1] = 0.4018 for check of v[ 2][ 2] = 0.2341 for check of v[ 2][ 3] = 0.5731 for check of v[ 2][ 4] = 0.6305 for check of v[ 2][ 5] = 0.0518 for check of v[ 2][ 6] = 0.1655 for check of v[ 3][ 0] = 0.5679 for check of v[ 3][ 1] = 0.2469 for check of v[ 3][ 2] = 0.2154 for check of v[ 3][ 3] = 0.1587 for check of v[ 3][ 4] = -0.0432 for check of v[ 3][ 5] = -0.4647 for check of v[ 3][ 6] = -0.5720 for check of v[ 4][ 0] = 0.4768 for check of v[ 4][ 1] = 0.2735 for check of v[ 4][ 2] = 0.4878 for check of v[ 4][ 3] = -0.0872 for check of v[ 4][ 4] = -0.3026 for check of v[ 4][ 5] = 0.3862 for check of v[ 4][ 6] = 0.4601 for check of v[ 5][ 0] = 0.5610 for check of v[ 5][ 1] = 0.1216 for check of v[ 5][ 2] = -0.6911 for check of v[ 5][ 3] = -0.1023 for check of v[ 5][ 4] = 0.3613 for check of v[ 5][ 5] = 0.1372 for check of v[ 5][ 6] = 0.1820 for check of v[ 6][ 0] = -0.2969 for check of v[ 6][ 1] = 0.7336 for check of v[ 6][ 2] = -0.0565 for check of v[ 6][ 3] = -0.5781 for check of v[ 6][ 4] = 0.0179 for check of v[ 6][ 5] = -0.1892 for check of v[ 6][ 6] = -0.0075 for i= 0 and j= 0 check summation of Vki*Vkj = 1.0000 for i= 0 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 0 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 0 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 0 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 0 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 1 check summation of Vki*Vkj = 1.0000 for i= 1 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 2 check summation of Vki*Vkj = 1.0000 for i= 2 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 3 check summation of Vki*Vkj = 1.0000 for i= 3 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 4 check summation of Vki*Vkj = 1.0000 for i= 4 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 5 check summation of Vki*Vkj = 1.0000 for i= 5 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 6 check summation of Vki*Vkj = 1.0000 w[ 0] = 16.2301 sigma[0] **2 = 208.0852 w[ 1] = 11.1069 sigma[1] **2 = 133.2945 w[ 2] = 1.4017 sigma[2] **2 = 22.4891 w[ 3] = 1.0512 sigma[3] **2 = 265.0816 w[ 4] = 0.7319 sigma[4] **2 = 172.2450 w[ 5] = 0.1411 sigma[5] **2 = 27.1941 w[ 6] = 0.0359 sigma[6] **2 = 2.1516 epsilon/y for data i = 0 is = -0.0120 epsilon/y for data i = 1 is = 0.0759 epsilon/y for data i = 2 is = -1.0835 epsilon/y for data i = 3 is = -0.8484 epsilon/y for data i = 4 is = 0.3325 epsilon/y for data i = 5 is = -0.2347 epsilon/y for data i = 6 is = -0.4919 epsilon/y for data i = 7 is = -0.0599 epsilon/y for data i = 8 is = -0.0591 epsilon/y for data i = 9 is = 0.0134 epsilon/y for data i = 10 is = 0.3279 epsilon/y for data i = 11 is = -0.0214 epsilon/y for data i = 12 is = -0.0148 epsilon/y for data i = 13 is = 0.0615 epsilon/y for data i = 14 is = 0.0989 epsilon/y for data i = 15 is = -0.1787 epsilon/y for data i = 16 is = -0.0446 epsilon/y for data i = 17 is = 0.2685 epsilon/y for data i = 18 is = -0.0166 epsilon/y for data i = 19 is = -0.0438 epsilon/y for data i = 20 is = 0.1516 epsilon/y for data i = 21 is = 0.3113 epsilon/y for data i = 22 is = 0.1041 epsilon/y for data i = 23 is = -0.0377 epsilon/y for data i = 24 is = -0.1364 epsilon/y for data i = 25 is = 0.0888 epsilon/y for data i = 26 is = 0.2984 epsilon/y for data i = 27 is = 0.0933 epsilon/y for data i = 28 is = -0.1136 epsilon/y for data i = 29 is = -0.0637 epsilon/y for data i = 30 is = -0.0530 epsilon/y for data i = 31 is = -0.4096 epsilon/y for data i = 32 is = -0.3269 epsilon/y for data i = 33 is = -0.0006 epsilon/y for data i = 34 is = -0.3365 epsilon/y for data i = 35 is = -0.4112 epsilon/y for data i = 36 is = -0.0013 epsilon/y for data i = 37 is = 0.0063 epsilon/y for data i = 38 is = 0.2496 epsilon/y for data i = 39 is = 0.1119 epsilon/y for data i = 40 is = -0.0836 epsilon/y for data i = 41 is = 0.0654 epsilon/y for data i = 42 is = 0.0705 epsilon/y for data i = 43 is = 0.1710 epsilon/y for data i = 44 is = -0.3825 epsilon/y for data i = 45 is = -3.0917 epsilon/y for data i = 46 is = 0.0521 epsilon/y for data i = 47 is = -0.0088 epsilon/y for data i = 48 is = 0.0651 epsilon/y for data i = 49 is = -0.0733 epsilon/y for data i = 50 is = -0.0500 epsilon/y for data i = 51 is = -0.0038 epsilon/y for data i = 52 is = 0.0496 epsilon/y for data i = 53 is = -0.0217 epsilon/y for data i = 54 is = 0.0142 epsilon/y for data i = 55 is = 0.0344 epsilon/y for data i = 56 is = 0.0444 epsilon/y for data i = 57 is = -0.0187 epsilon/y for data i = 58 is = -0.0403 epsilon/y for data i = 59 is = -0.0594 epsilon/y for data i = 60 is = -0.0045 epsilon/y for data i = 61 is = -0.6158 epsilon/y for data i = 62 is = 0.0317 epsilon/y for data i = 63 is = 0.0644 epsilon/y for data i = 64 is = 0.0672 epsilon/y for data i = 65 is = -0.0848 epsilon/y for data i = 66 is = 0.3570 epsilon/y for data i = 67 is = -0.0559 epsilon/y for data i = 68 is = 0.0552 epsilon/y for data i = 69 is = -0.0043 epsilon/y for data i = 70 is = -0.0401 epsilon/y for data i = 71 is = 0.0391 epsilon/y for data i = 72 is = -0.0486 epsilon/y for data i = 73 is = -0.0302 epsilon/y for data i = 74 is = -0.0268 epsilon/y for data i = 75 is = -0.0668 epsilon/y for data i = 76 is = -0.0176 epsilon/y for data i = 77 is = -0.0229 epsilon/y for data i = 78 is = 0.0443 epsilon/y for data i = 79 is = -0.0009 epsilon/y for data i = 80 is = -0.3469 epsilon/y for data i = 81 is = 0.0251 epsilon/y for data i = 82 is = -0.0302 epsilon/y for data i = 83 is = 0.0209 epsilon/y for data i = 84 is = -0.0131 epsilon/y for data i = 85 is = 0.1544 epsilon/y for data i = 86 is = -0.0430 epsilon/y for data i = 87 is = 0.1265 epsilon/y for data i = 88 is = -0.0176 epsilon/y for data i = 89 is = -0.9808 SSresid = 1.2131 standard residiance = 0.1160981247 mean y = 0.8082 SSto = 6.5147 standard variance of y = 0.2690 F = 65.5552 standard deviation = 0.1209 R ** 2 = 0.8138 adjusted R ** 2 = 0.8138 ------------------------------------------ a[0]=1.70498 a[1]=-3.58862 a[2]=0.596495 a[3]=-1.3021 a[4]=1.08035 a[5]=0.374707 a[6]=0.74961 a[7] has w == 0 r = 0.902118; r^2 = 0.813817; t = 19.6126 more iteration, 0 percentage of old epsilon reserved for check of v[ 0][ 0] = -0.3048 for check of v[ 0][ 1] = 0.3446 for check of v[ 0][ 2] = -0.2163 for check of v[ 0][ 3] = 0.3086 for check of v[ 0][ 4] = -0.5009 for check of v[ 0][ 5] = -0.6268 for check of v[ 0][ 6] = -0.0505 for check of v[ 1][ 0] = -0.2052 for check of v[ 1][ 1] = 0.4538 for check of v[ 1][ 2] = -0.3743 for check of v[ 1][ 3] = 0.1280 for check of v[ 1][ 4] = -0.1733 for check of v[ 1][ 5] = 0.6494 for check of v[ 1][ 6] = 0.3791 for check of v[ 2][ 0] = -0.3994 for check of v[ 2][ 1] = -0.1102 for check of v[ 2][ 2] = -0.6547 for check of v[ 2][ 3] = -0.1818 for check of v[ 2][ 4] = 0.4096 for check of v[ 2][ 5] = -0.0214 for check of v[ 2][ 6] = -0.4454 for check of v[ 3][ 0] = 0.2368 for check of v[ 3][ 1] = 0.2780 for check of v[ 3][ 2] = -0.2333 for check of v[ 3][ 3] = -0.6149 for check of v[ 3][ 4] = 0.1900 for check of v[ 3][ 5] = -0.3772 for check of v[ 3][ 6] = 0.5057 for check of v[ 4][ 0] = 0.1510 for check of v[ 4][ 1] = 0.0852 for check of v[ 4][ 2] = -0.0124 for check of v[ 4][ 3] = -0.5914 for check of v[ 4][ 4] = -0.6035 for check of v[ 4][ 5] = 0.2061 for check of v[ 4][ 6] = -0.4619 for check of v[ 5][ 0] = 0.3244 for check of v[ 5][ 1] = 0.7274 for check of v[ 5][ 2] = 0.1587 for check of v[ 5][ 3] = 0.1498 for check of v[ 5][ 4] = 0.3646 for check of v[ 5][ 5] = 0.0045 for check of v[ 5][ 6] = -0.4301 for check of v[ 6][ 0] = -0.7220 for check of v[ 6][ 1] = 0.2223 for check of v[ 6][ 2] = 0.5520 for check of v[ 6][ 3] = -0.3241 for check of v[ 6][ 4] = 0.1340 for check of v[ 6][ 5] = 0.0133 for check of v[ 6][ 6] = 0.0360 for i= 0 and j= 0 check summation of Vki*Vkj = 1.0000 for i= 0 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 0 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 1 check summation of Vki*Vkj = 1.0000 for i= 1 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 2 check summation of Vki*Vkj = 1.0000 for i= 2 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 3 check summation of Vki*Vkj = 1.0000 for i= 3 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 4 check summation of Vki*Vkj = 1.0000 for i= 4 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 5 check summation of Vki*Vkj = 1.0000 for i= 5 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 6 check summation of Vki*Vkj = 1.0000 w[ 0] = 13.0998 sigma[0] **2 = 1232.6670 w[ 1] = 1.8533 sigma[1] **2 = 1366.9751 w[ 2] = 1.0624 sigma[2] **2 = 92.2328 w[ 3] = 0.4296 sigma[3] **2 = 549.1807 w[ 4] = 0.1341 sigma[4] **2 = 240.7320 w[ 5] = 0.0180 sigma[5] **2 = 83.2147 w[ 6] = 0.0495 sigma[6] **2 = 2.9312 epsilon/y for data i = 0 is = 0.0076 epsilon/y for data i = 1 is = 0.0723 epsilon/y for data i = 2 is = -1.0569 epsilon/y for data i = 3 is = -0.7405 epsilon/y for data i = 4 is = 0.3255 epsilon/y for data i = 5 is = -0.2445 epsilon/y for data i = 6 is = -0.6247 epsilon/y for data i = 7 is = -0.0593 epsilon/y for data i = 8 is = -0.0546 epsilon/y for data i = 9 is = -0.0379 epsilon/y for data i = 10 is = 0.3698 epsilon/y for data i = 11 is = -0.0036 epsilon/y for data i = 12 is = 0.0062 epsilon/y for data i = 13 is = 0.0585 epsilon/y for data i = 14 is = 0.0972 epsilon/y for data i = 15 is = -0.2047 epsilon/y for data i = 16 is = -0.0101 epsilon/y for data i = 17 is = 0.2241 epsilon/y for data i = 18 is = 0.0076 epsilon/y for data i = 19 is = -0.0360 epsilon/y for data i = 20 is = 0.1287 epsilon/y for data i = 21 is = 0.2813 epsilon/y for data i = 22 is = 0.1805 epsilon/y for data i = 23 is = -0.0322 epsilon/y for data i = 24 is = -0.1294 epsilon/y for data i = 25 is = 0.0790 epsilon/y for data i = 26 is = 0.3101 epsilon/y for data i = 27 is = 0.0469 epsilon/y for data i = 28 is = -0.1681 epsilon/y for data i = 29 is = -0.0489 epsilon/y for data i = 30 is = -0.0303 epsilon/y for data i = 31 is = 0.1740 epsilon/y for data i = 32 is = 0.0921 epsilon/y for data i = 33 is = -0.0074 epsilon/y for data i = 34 is = -0.3458 epsilon/y for data i = 35 is = -0.4559 epsilon/y for data i = 36 is = -0.0122 epsilon/y for data i = 37 is = -0.0219 epsilon/y for data i = 38 is = 0.2239 epsilon/y for data i = 39 is = 0.1053 epsilon/y for data i = 40 is = -0.0770 epsilon/y for data i = 41 is = 0.0858 epsilon/y for data i = 42 is = 0.0645 epsilon/y for data i = 43 is = 0.1650 epsilon/y for data i = 44 is = -0.3707 epsilon/y for data i = 45 is = -2.1474 epsilon/y for data i = 46 is = -0.0275 epsilon/y for data i = 47 is = -0.0158 epsilon/y for data i = 48 is = 0.0157 epsilon/y for data i = 49 is = -0.0435 epsilon/y for data i = 50 is = -0.0336 epsilon/y for data i = 51 is = -0.0248 epsilon/y for data i = 52 is = 0.0448 epsilon/y for data i = 53 is = -0.0267 epsilon/y for data i = 54 is = 0.0041 epsilon/y for data i = 55 is = 0.0199 epsilon/y for data i = 56 is = 0.0563 epsilon/y for data i = 57 is = -0.0163 epsilon/y for data i = 58 is = -0.0317 epsilon/y for data i = 59 is = -0.0717 epsilon/y for data i = 60 is = -0.0249 epsilon/y for data i = 61 is = -0.6205 epsilon/y for data i = 62 is = 0.0317 epsilon/y for data i = 63 is = 0.0593 epsilon/y for data i = 64 is = 0.0595 epsilon/y for data i = 65 is = -0.1337 epsilon/y for data i = 66 is = 0.3375 epsilon/y for data i = 67 is = -0.0420 epsilon/y for data i = 68 is = 0.0862 epsilon/y for data i = 69 is = -0.0118 epsilon/y for data i = 70 is = -0.0363 epsilon/y for data i = 71 is = 0.0269 epsilon/y for data i = 72 is = -0.0249 epsilon/y for data i = 73 is = -0.0278 epsilon/y for data i = 74 is = -0.0434 epsilon/y for data i = 75 is = -0.0371 epsilon/y for data i = 76 is = -0.0107 epsilon/y for data i = 77 is = -0.0184 epsilon/y for data i = 78 is = 0.0372 epsilon/y for data i = 79 is = -0.0152 epsilon/y for data i = 80 is = -0.3606 epsilon/y for data i = 81 is = 0.0183 epsilon/y for data i = 82 is = -0.0333 epsilon/y for data i = 83 is = 0.0009 epsilon/y for data i = 84 is = -0.0162 epsilon/y for data i = 85 is = 0.1383 epsilon/y for data i = 86 is = -0.0337 epsilon/y for data i = 87 is = 0.1462 epsilon/y for data i = 88 is = -0.0249 epsilon/y for data i = 89 is = -0.7570 SSresid = 1.0939 standard residiance = 0.1102468520 mean y = 0.8082 SSto = 6.5147 standard variance of y = 0.2690 F = 74.3330 standard deviation = 0.1148 R ** 2 = 0.8321 adjusted R ** 2 = 0.8321 ------------------------------------------ a[0]=0.570745 a[1]=-5.50161 a[2]=3.8317 a[3]=-4.22538 a[4]=2.59908 a[5]=3.53468 a[6]=0.760627 a[7] has w == 0 r = 0.91219; r^2 = 0.832091; t = 20.8829 more iteration, 0 percentage of old epsilon reserved for check of v[ 0][ 0] = -0.3048 for check of v[ 0][ 1] = 0.3449 for check of v[ 0][ 2] = -0.2140 for check of v[ 0][ 3] = 0.2918 for check of v[ 0][ 4] = -0.5580 for check of v[ 0][ 5] = 0.4479 for check of v[ 0][ 6] = 0.3811 for check of v[ 1][ 0] = -0.2052 for check of v[ 1][ 1] = 0.4535 for check of v[ 1][ 2] = -0.3711 for check of v[ 1][ 3] = 0.1478 for check of v[ 1][ 4] = -0.0389 for check of v[ 1][ 5] = -0.1734 for check of v[ 1][ 6] = -0.7491 for check of v[ 2][ 0] = -0.3995 for check of v[ 2][ 1] = -0.1071 for check of v[ 2][ 2] = -0.6562 for check of v[ 2][ 3] = -0.1795 for check of v[ 2][ 4] = 0.3103 for check of v[ 2][ 5] = -0.3363 for check of v[ 2][ 6] = 0.3960 for check of v[ 3][ 0] = 0.2367 for check of v[ 3][ 1] = 0.2880 for check of v[ 3][ 2] = -0.2341 for check of v[ 3][ 3] = -0.6032 for check of v[ 3][ 4] = 0.2751 for check of v[ 3][ 5] = 0.6037 for check of v[ 3][ 6] = -0.0475 for check of v[ 4][ 0] = 0.1509 for check of v[ 4][ 1] = 0.0981 for check of v[ 4][ 2] = -0.0119 for check of v[ 4][ 3] = -0.6080 for check of v[ 4][ 4] = -0.6484 for check of v[ 4][ 5] = -0.4198 for check of v[ 4][ 6] = 0.0349 for check of v[ 5][ 0] = 0.3244 for check of v[ 5][ 1] = 0.7219 for check of v[ 5][ 2] = 0.1617 for check of v[ 5][ 3] = 0.1629 for check of v[ 5][ 4] = 0.2687 for check of v[ 5][ 5] = -0.3399 for check of v[ 5][ 6] = 0.3650 for check of v[ 6][ 0] = -0.7221 for check of v[ 6][ 1] = 0.2240 for check of v[ 6][ 2] = 0.5522 for check of v[ 6][ 3] = -0.3174 for check of v[ 6][ 4] = 0.1503 for check of v[ 6][ 5] = 0.0037 for check of v[ 6][ 6] = -0.0114 for i= 0 and j= 0 check summation of Vki*Vkj = 1.0000 for i= 0 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 0 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 0 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 1 check summation of Vki*Vkj = 1.0000 for i= 1 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 2 check summation of Vki*Vkj = 1.0000 for i= 2 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 3 check summation of Vki*Vkj = 1.0000 for i= 3 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 4 check summation of Vki*Vkj = 1.0000 for i= 4 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 5 check summation of Vki*Vkj = 1.0000 for i= 5 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 6 check summation of Vki*Vkj = 1.0000 w[ 0] = 13.0985 sigma[0] **2 = 842.9066 w[ 1] = 1.8608 sigma[1] **2 = 2388.0565 w[ 2] = 1.0625 sigma[2] **2 = 785.0041 w[ 3] = 0.4541 sigma[3] **2 = 402.4532 w[ 4] = 0.1248 sigma[4] **2 = 220.7438 w[ 5] = 0.0307 sigma[5] **2 = 686.7114 w[ 6] = 0.0154 sigma[6] **2 = 2.7885 epsilon/y for data i = 0 is = 0.0142 epsilon/y for data i = 1 is = 0.0717 epsilon/y for data i = 2 is = -1.0506 epsilon/y for data i = 3 is = -0.7059 epsilon/y for data i = 4 is = 0.3202 epsilon/y for data i = 5 is = -0.2516 epsilon/y for data i = 6 is = -0.7000 epsilon/y for data i = 7 is = -0.0586 epsilon/y for data i = 8 is = -0.0525 epsilon/y for data i = 9 is = -0.0584 epsilon/y for data i = 10 is = 0.3811 epsilon/y for data i = 11 is = 0.0021 epsilon/y for data i = 12 is = 0.0128 epsilon/y for data i = 13 is = 0.0582 epsilon/y for data i = 14 is = 0.0970 epsilon/y for data i = 15 is = -0.2180 epsilon/y for data i = 16 is = -0.0004 epsilon/y for data i = 17 is = 0.2112 epsilon/y for data i = 18 is = 0.0149 epsilon/y for data i = 19 is = -0.0329 epsilon/y for data i = 20 is = 0.1217 epsilon/y for data i = 21 is = 0.2676 epsilon/y for data i = 22 is = 0.1992 epsilon/y for data i = 23 is = -0.0331 epsilon/y for data i = 24 is = -0.1336 epsilon/y for data i = 25 is = 0.0754 epsilon/y for data i = 26 is = 0.3128 epsilon/y for data i = 27 is = 0.0305 epsilon/y for data i = 28 is = -0.1818 epsilon/y for data i = 29 is = -0.0426 epsilon/y for data i = 30 is = -0.0194 epsilon/y for data i = 31 is = 0.4113 epsilon/y for data i = 32 is = 0.2333 epsilon/y for data i = 33 is = -0.0099 epsilon/y for data i = 34 is = -0.3496 epsilon/y for data i = 35 is = -0.4721 epsilon/y for data i = 36 is = -0.0156 epsilon/y for data i = 37 is = -0.0356 epsilon/y for data i = 38 is = 0.2125 epsilon/y for data i = 39 is = 0.1033 epsilon/y for data i = 40 is = -0.0750 epsilon/y for data i = 41 is = 0.0919 epsilon/y for data i = 42 is = 0.0628 epsilon/y for data i = 43 is = 0.1627 epsilon/y for data i = 44 is = -0.3729 epsilon/y for data i = 45 is = -1.7644 epsilon/y for data i = 46 is = -0.0586 epsilon/y for data i = 47 is = -0.0172 epsilon/y for data i = 48 is = -0.0048 epsilon/y for data i = 49 is = -0.0343 epsilon/y for data i = 50 is = -0.0272 epsilon/y for data i = 51 is = -0.0314 epsilon/y for data i = 52 is = 0.0436 epsilon/y for data i = 53 is = -0.0262 epsilon/y for data i = 54 is = 0.0014 epsilon/y for data i = 55 is = 0.0153 epsilon/y for data i = 56 is = 0.0613 epsilon/y for data i = 57 is = -0.0140 epsilon/y for data i = 58 is = -0.0270 epsilon/y for data i = 59 is = -0.0790 epsilon/y for data i = 60 is = -0.0329 epsilon/y for data i = 61 is = -0.6299 epsilon/y for data i = 62 is = 0.0331 epsilon/y for data i = 63 is = 0.0578 epsilon/y for data i = 64 is = 0.0562 epsilon/y for data i = 65 is = -0.1545 epsilon/y for data i = 66 is = 0.3288 epsilon/y for data i = 67 is = -0.0364 epsilon/y for data i = 68 is = 0.0983 epsilon/y for data i = 69 is = -0.0126 epsilon/y for data i = 70 is = -0.0330 epsilon/y for data i = 71 is = 0.0190 epsilon/y for data i = 72 is = -0.0113 epsilon/y for data i = 73 is = -0.0252 epsilon/y for data i = 74 is = -0.0479 epsilon/y for data i = 75 is = -0.0280 epsilon/y for data i = 76 is = -0.0077 epsilon/y for data i = 77 is = -0.0158 epsilon/y for data i = 78 is = 0.0344 epsilon/y for data i = 79 is = -0.0201 epsilon/y for data i = 80 is = -0.3663 epsilon/y for data i = 81 is = 0.0168 epsilon/y for data i = 82 is = -0.0326 epsilon/y for data i = 83 is = -0.0073 epsilon/y for data i = 84 is = -0.0157 epsilon/y for data i = 85 is = 0.1314 epsilon/y for data i = 86 is = -0.0294 epsilon/y for data i = 87 is = 0.1558 epsilon/y for data i = 88 is = -0.0256 epsilon/y for data i = 89 is = -0.6774 SSresid = 1.0702 standard residiance = 0.1090487543 mean y = 0.8082 SSto = 6.5147 standard variance of y = 0.2690 F = 76.3067 standard deviation = 0.1136 R ** 2 = 0.8357 adjusted R ** 2 = 0.8357 ------------------------------------------ a[0]=-0.680739 a[1]=-6.99893 a[2]=6.71429 a[3]=-6.81792 a[4]=3.80743 a[5]=6.36549 a[6]=0.793875 a[7] has w == 0 r = 0.914178; r^2 = 0.835721; t = 21.1583 more iteration, 0 percentage of old epsilon reserved for check of v[ 0][ 0] = -0.3048 for check of v[ 0][ 1] = 0.3447 for check of v[ 0][ 2] = -0.2136 for check of v[ 0][ 3] = 0.2854 for check of v[ 0][ 4] = -0.5729 for check of v[ 0][ 5] = 0.5568 for check of v[ 0][ 6] = 0.1517 for check of v[ 1][ 0] = -0.2052 for check of v[ 1][ 1] = 0.4529 for check of v[ 1][ 2] = -0.3705 for check of v[ 1][ 3] = 0.1600 for check of v[ 1][ 4] = 0.0061 for check of v[ 1][ 5] = -0.4387 for check of v[ 1][ 6] = -0.6304 for check of v[ 2][ 0] = -0.3995 for check of v[ 2][ 1] = -0.1061 for check of v[ 2][ 2] = -0.6563 for check of v[ 2][ 3] = -0.1835 for check of v[ 2][ 4] = 0.2763 for check of v[ 2][ 5] = -0.1656 for check of v[ 2][ 6] = 0.5109 for check of v[ 3][ 0] = 0.2367 for check of v[ 3][ 1] = 0.2918 for check of v[ 3][ 2] = -0.2341 for check of v[ 3][ 3] = -0.5977 for check of v[ 3][ 4] = 0.2976 for check of v[ 3][ 5] = 0.5413 for check of v[ 3][ 6] = -0.2553 for check of v[ 4][ 0] = 0.1509 for check of v[ 4][ 1] = 0.1032 for check of v[ 4][ 2] = -0.0114 for check of v[ 4][ 3] = -0.6133 for check of v[ 4][ 4] = -0.6537 for check of v[ 4][ 5] = -0.3806 for check of v[ 4][ 6] = 0.1347 for check of v[ 5][ 0] = 0.3244 for check of v[ 5][ 1] = 0.7200 for check of v[ 5][ 2] = 0.1624 for check of v[ 5][ 3] = 0.1642 for check of v[ 5][ 4] = 0.2360 for check of v[ 5][ 5] = -0.1794 for check of v[ 5][ 6] = 0.4850 for check of v[ 6][ 0] = -0.7221 for check of v[ 6][ 1] = 0.2252 for check of v[ 6][ 2] = 0.5523 for check of v[ 6][ 3] = -0.3147 for check of v[ 6][ 4] = 0.1542 for check of v[ 6][ 5] = -0.0014 for check of v[ 6][ 6] = -0.0052 for i= 0 and j= 0 check summation of Vki*Vkj = 1.0000 for i= 0 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 0 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 1 check summation of Vki*Vkj = 1.0000 for i= 1 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 2 check summation of Vki*Vkj = 1.0000 for i= 2 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 0 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 3 check summation of Vki*Vkj = 1.0000 for i= 3 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 4 check summation of Vki*Vkj = 1.0000 for i= 4 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 5 check summation of Vki*Vkj = 1.0000 for i= 5 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 6 check summation of Vki*Vkj = 1.0000 w[ 0] = 13.0983 sigma[0] **2 = 545.3155 w[ 1] = 1.8630 sigma[1] **2 = 3413.3623 w[ 2] = 1.0625 sigma[2] **2 = 2139.5847 w[ 3] = 0.4672 sigma[3] **2 = 852.1572 w[ 4] = 0.1226 sigma[4] **2 = 334.0425 w[ 5] = 0.0303 sigma[5] **2 = 1935.1375 w[ 6] = 0.0111 sigma[6] **2 = 2.5471 epsilon/y for data i = 0 is = 0.0175 epsilon/y for data i = 1 is = 0.0715 epsilon/y for data i = 2 is = -1.0489 epsilon/y for data i = 3 is = -0.6894 epsilon/y for data i = 4 is = 0.3167 epsilon/y for data i = 5 is = -0.2563 epsilon/y for data i = 6 is = -0.7425 epsilon/y for data i = 7 is = -0.0581 epsilon/y for data i = 8 is = -0.0513 epsilon/y for data i = 9 is = -0.0693 epsilon/y for data i = 10 is = 0.3851 epsilon/y for data i = 11 is = 0.0050 epsilon/y for data i = 12 is = 0.0155 epsilon/y for data i = 13 is = 0.0582 epsilon/y for data i = 14 is = 0.0970 epsilon/y for data i = 15 is = -0.2258 epsilon/y for data i = 16 is = 0.0041 epsilon/y for data i = 17 is = 0.2053 epsilon/y for data i = 18 is = 0.0184 epsilon/y for data i = 19 is = -0.0312 epsilon/y for data i = 20 is = 0.1184 epsilon/y for data i = 21 is = 0.2598 epsilon/y for data i = 22 is = 0.2064 epsilon/y for data i = 23 is = -0.0346 epsilon/y for data i = 24 is = -0.1380 epsilon/y for data i = 25 is = 0.0736 epsilon/y for data i = 26 is = 0.3135 epsilon/y for data i = 27 is = 0.0222 epsilon/y for data i = 28 is = -0.1877 epsilon/y for data i = 29 is = -0.0392 epsilon/y for data i = 30 is = -0.0137 epsilon/y for data i = 31 is = 0.5346 epsilon/y for data i = 32 is = 0.3032 epsilon/y for data i = 33 is = -0.0112 epsilon/y for data i = 34 is = -0.3518 epsilon/y for data i = 35 is = -0.4804 epsilon/y for data i = 36 is = -0.0168 epsilon/y for data i = 37 is = -0.0428 epsilon/y for data i = 38 is = 0.2062 epsilon/y for data i = 39 is = 0.1025 epsilon/y for data i = 40 is = -0.0742 epsilon/y for data i = 41 is = 0.0940 epsilon/y for data i = 42 is = 0.0621 epsilon/y for data i = 43 is = 0.1615 epsilon/y for data i = 44 is = -0.3763 epsilon/y for data i = 45 is = -1.5719 epsilon/y for data i = 46 is = -0.0749 epsilon/y for data i = 47 is = -0.0175 epsilon/y for data i = 48 is = -0.0158 epsilon/y for data i = 49 is = -0.0299 epsilon/y for data i = 50 is = -0.0238 epsilon/y for data i = 51 is = -0.0345 epsilon/y for data i = 52 is = 0.0432 epsilon/y for data i = 53 is = -0.0250 epsilon/y for data i = 54 is = 0.0005 epsilon/y for data i = 55 is = 0.0133 epsilon/y for data i = 56 is = 0.0639 epsilon/y for data i = 57 is = -0.0125 epsilon/y for data i = 58 is = -0.0241 epsilon/y for data i = 59 is = -0.0836 epsilon/y for data i = 60 is = -0.0365 epsilon/y for data i = 61 is = -0.6370 epsilon/y for data i = 62 is = 0.0343 epsilon/y for data i = 63 is = 0.0572 epsilon/y for data i = 64 is = 0.0544 epsilon/y for data i = 65 is = -0.1659 epsilon/y for data i = 66 is = 0.3239 epsilon/y for data i = 67 is = -0.0333 epsilon/y for data i = 68 is = 0.1038 epsilon/y for data i = 69 is = -0.0122 epsilon/y for data i = 70 is = -0.0308 epsilon/y for data i = 71 is = 0.0137 epsilon/y for data i = 72 is = -0.0032 epsilon/y for data i = 73 is = -0.0233 epsilon/y for data i = 74 is = -0.0492 epsilon/y for data i = 75 is = -0.0236 epsilon/y for data i = 76 is = -0.0059 epsilon/y for data i = 77 is = -0.0143 epsilon/y for data i = 78 is = 0.0331 epsilon/y for data i = 79 is = -0.0221 epsilon/y for data i = 80 is = -0.3695 epsilon/y for data i = 81 is = 0.0165 epsilon/y for data i = 82 is = -0.0317 epsilon/y for data i = 83 is = -0.0112 epsilon/y for data i = 84 is = -0.0147 epsilon/y for data i = 85 is = 0.1278 epsilon/y for data i = 86 is = -0.0270 epsilon/y for data i = 87 is = 0.1609 epsilon/y for data i = 88 is = -0.0251 epsilon/y for data i = 89 is = -0.6422 SSresid = 1.0629 standard residiance = 0.1086761728 mean y = 0.8082 SSto = 6.5147 standard variance of y = 0.2690 F = 76.9339 standard deviation = 0.1132 R ** 2 = 0.8368 adjusted R ** 2 = 0.8368 ------------------------------------------ a[0]=-1.73614 a[1]=-8.13168 a[2]=8.99126 a[3]=-8.83636 a[4]=4.68069 a[5]=8.60765 a[6]=0.829574 a[7] has w == 0 r = 0.914793; r^2 = 0.836845; t = 21.2454 more iteration, 0 percentage of old epsilon reserved for check of v[ 0][ 0] = -0.3048 for check of v[ 0][ 1] = 0.3446 for check of v[ 0][ 2] = -0.2136 for check of v[ 0][ 3] = 0.2821 for check of v[ 0][ 4] = -0.5802 for check of v[ 0][ 5] = 0.5688 for check of v[ 0][ 6] = 0.0552 for check of v[ 1][ 0] = -0.2052 for check of v[ 1][ 1] = 0.4525 for check of v[ 1][ 2] = -0.3705 for check of v[ 1][ 3] = 0.1669 for check of v[ 1][ 4] = 0.0296 for check of v[ 1][ 5] = -0.5212 for check of v[ 1][ 6] = -0.5617 for check of v[ 2][ 0] = -0.3995 for check of v[ 2][ 1] = -0.1058 for check of v[ 2][ 2] = -0.6561 for check of v[ 2][ 3] = -0.1866 for check of v[ 2][ 4] = 0.2588 for check of v[ 2][ 5] = -0.0920 for check of v[ 2][ 6] = 0.5371 for check of v[ 3][ 0] = 0.2367 for check of v[ 3][ 1] = 0.2936 for check of v[ 3][ 2] = -0.2340 for check of v[ 3][ 3] = -0.5946 for check of v[ 3][ 4] = 0.3081 for check of v[ 3][ 5] = 0.5014 for check of v[ 3][ 6] = -0.3212 for check of v[ 4][ 0] = 0.1509 for check of v[ 4][ 1] = 0.1057 for check of v[ 4][ 2] = -0.0110 for check of v[ 4][ 3] = -0.6158 for check of v[ 4][ 4] = -0.6545 for check of v[ 4][ 5] = -0.3650 for check of v[ 4][ 6] = 0.1585 for check of v[ 5][ 0] = 0.3244 for check of v[ 5][ 1] = 0.7190 for check of v[ 5][ 2] = 0.1626 for check of v[ 5][ 3] = 0.1641 for check of v[ 5][ 4] = 0.2190 for check of v[ 5][ 5] = -0.1086 for check of v[ 5][ 6] = 0.5145 for check of v[ 6][ 0] = -0.7221 for check of v[ 6][ 1] = 0.2258 for check of v[ 6][ 2] = 0.5525 for check of v[ 6][ 3] = -0.3131 for check of v[ 6][ 4] = 0.1559 for check of v[ 6][ 5] = -0.0018 for check of v[ 6][ 6] = -0.0018 for i= 0 and j= 0 check summation of Vki*Vkj = 1.0000 for i= 0 and j= 1 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 0 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 1 check summation of Vki*Vkj = 1.0000 for i= 1 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 4 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 5 check summation of Vki*Vkj = -0.0000 for i= 1 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 2 check summation of Vki*Vkj = 1.0000 for i= 2 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 2 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 2 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 2 check summation of Vki*Vkj = -0.0000 for i= 3 and j= 3 check summation of Vki*Vkj = 1.0000 for i= 3 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 3 and j= 6 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 4 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 4 check summation of Vki*Vkj = 1.0000 for i= 4 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 4 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 5 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 3 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 5 and j= 5 check summation of Vki*Vkj = 1.0000 for i= 5 and j= 6 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 1 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 2 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 3 check summation of Vki*Vkj = -0.0000 for i= 6 and j= 4 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 5 check summation of Vki*Vkj = 0.0000 for i= 6 and j= 6 check summation of Vki*Vkj = 1.0000 w[ 0] = 13.0983 sigma[0] **2 = 395.5185 w[ 1] = 1.8635 sigma[1] **2 = 4325.0321 w[ 2] = 1.0625 sigma[2] **2 = 3711.8481 w[ 3] = 0.4747 sigma[3] **2 = 1589.3278 w[ 4] = 0.1216 sigma[4] **2 = 489.8798 w[ 5] = 0.0312 sigma[5] **2 = 3409.4491 w[ 6] = 0.0088 sigma[6] **2 = 2.4129 epsilon/y for data i = 0 is = 0.0196 epsilon/y for data i = 1 is = 0.0715 epsilon/y for data i = 2 is = -1.0486 epsilon/y for data i = 3 is = -0.6803 epsilon/y for data i = 4 is = 0.3143 epsilon/y for data i = 5 is = -0.2595 epsilon/y for data i = 6 is = -0.7693 epsilon/y for data i = 7 is = -0.0577 epsilon/y for data i = 8 is = -0.0505 epsilon/y for data i = 9 is = -0.0759 epsilon/y for data i = 10 is = 0.3866 epsilon/y for data i = 11 is = 0.0067 epsilon/y for data i = 12 is = 0.0168 epsilon/y for data i = 13 is = 0.0583 epsilon/y for data i = 14 is = 0.0971 epsilon/y for data i = 15 is = -0.2310 epsilon/y for data i = 16 is = 0.0068 epsilon/y for data i = 17 is = 0.2020 epsilon/y for data i = 18 is = 0.0205 epsilon/y for data i = 19 is = -0.0302 epsilon/y for data i = 20 is = 0.1165 epsilon/y for data i = 21 is = 0.2549 epsilon/y for data i = 22 is = 0.2097 epsilon/y for data i = 23 is = -0.0360 epsilon/y for data i = 24 is = -0.1416 epsilon/y for data i = 25 is = 0.0725 epsilon/y for data i = 26 is = 0.3136 epsilon/y for data i = 27 is = 0.0173 epsilon/y for data i = 28 is = -0.1910 epsilon/y for data i = 29 is = -0.0370 epsilon/y for data i = 30 is = -0.0104 epsilon/y for data i = 31 is = 0.6084 epsilon/y for data i = 32 is = 0.3444 epsilon/y for data i = 33 is = -0.0120 epsilon/y for data i = 34 is = -0.3533 epsilon/y for data i = 35 is = -0.4853 epsilon/y for data i = 36 is = -0.0172 epsilon/y for data i = 37 is = -0.0470 epsilon/y for data i = 38 is = 0.2022 epsilon/y for data i = 39 is = 0.1020 epsilon/y for data i = 40 is = -0.0738 epsilon/y for data i = 41 is = 0.0948 epsilon/y for data i = 42 is = 0.0618 epsilon/y for data i = 43 is = 0.1607 epsilon/y for data i = 44 is = -0.3793 epsilon/y for data i = 45 is = -1.4608 epsilon/y for data i = 46 is = -0.0849 epsilon/y for data i = 47 is = -0.0176 epsilon/y for data i = 48 is = -0.0226 epsilon/y for data i = 49 is = -0.0272 epsilon/y for data i = 50 is = -0.0217 epsilon/y for data i = 51 is = -0.0362 epsilon/y for data i = 52 is = 0.0431 epsilon/y for data i = 53 is = -0.0240 epsilon/y for data i = 54 is = 0.0003 epsilon/y for data i = 55 is = 0.0123 epsilon/y for data i = 56 is = 0.0655 epsilon/y for data i = 57 is = -0.0114 epsilon/y for data i = 58 is = -0.0223 epsilon/y for data i = 59 is = -0.0867 epsilon/y for data i = 60 is = -0.0383 epsilon/y for data i = 61 is = -0.6423 epsilon/y for data i = 62 is = 0.0352 epsilon/y for data i = 63 is = 0.0569 epsilon/y for data i = 64 is = 0.0533 epsilon/y for data i = 65 is = -0.1731 epsilon/y for data i = 66 is = 0.3208 epsilon/y for data i = 67 is = -0.0313 epsilon/y for data i = 68 is = 0.1067 epsilon/y for data i = 69 is = -0.0116 epsilon/y for data i = 70 is = -0.0292 epsilon/y for data i = 71 is = 0.0101 epsilon/y for data i = 72 is = 0.0021 epsilon/y for data i = 73 is = -0.0220 epsilon/y for data i = 74 is = -0.0496 epsilon/y for data i = 75 is = -0.0210 epsilon/y for data i = 76 is = -0.0048 epsilon/y for data i = 77 is = -0.0132 epsilon/y for data i = 78 is = 0.0324 epsilon/y for data i = 79 is = -0.0229 epsilon/y for data i = 80 is = -0.3714 epsilon/y for data i = 81 is = 0.0166 epsilon/y for data i = 82 is = -0.0309 epsilon/y for data i = 83 is = -0.0134 epsilon/y for data i = 84 is = -0.0139 epsilon/y for data i = 85 is = 0.1255 epsilon/y for data i = 86 is = -0.0255 epsilon/y for data i = 87 is = 0.1638 epsilon/y for data i = 88 is = -0.0245 epsilon/y for data i = 89 is = -0.6242 SSresid = 1.0601 standard residiance = 0.1085308875 mean y = 0.8082 SSto = 6.5147 standard variance of y = 0.2690 F = 77.1802 standard deviation = 0.1130 R ** 2 = 0.8373 adjusted R ** 2 = 0.8373 ------------------------------------------ a[0]=-2.57652 a[1]=-8.98901 a[2]=10.7487 a[3]=-10.3734 a[4]=5.3083 a[5]=10.3415 a[6]=0.861811 a[7] has w == 0 r = 0.915032; r^2 = 0.837283; t = 21.2795