3 variables 90 observations selected model is 8 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