3 variables 90 observations selected model is 5 for check of v[ 0][ 0] = 0.9943 for check of v[ 0][ 1] = 0.1063 for check of v[ 1][ 0] = -0.1063 for check of v[ 1][ 1] = 0.9943 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= 1 and j= 0 check summation of Vki*Vkj = 0.0000 for i= 1 and j= 1 check summation of Vki*Vkj = 1.0000 w[ 0] = 1.1855 sigma[0] **2 = 0.7036 w[ 1] = 9.5400 sigma[1] **2 = 0.0189 epsilon/y for data i = 0 is = -0.0114 epsilon/y for data i = 1 is = 0.0283 epsilon/y for data i = 2 is = -1.0553 epsilon/y for data i = 3 is = -3.9924 epsilon/y for data i = 4 is = 0.2294 epsilon/y for data i = 5 is = -0.2718 epsilon/y for data i = 6 is = -4.6529 epsilon/y for data i = 7 is = -0.0976 epsilon/y for data i = 8 is = -0.0526 epsilon/y for data i = 9 is = -0.2179 epsilon/y for data i = 10 is = 0.0695 epsilon/y for data i = 11 is = -0.0531 epsilon/y for data i = 12 is = 0.0727 epsilon/y for data i = 13 is = -0.0240 epsilon/y for data i = 14 is = 0.0758 epsilon/y for data i = 15 is = -0.3496 epsilon/y for data i = 16 is = -0.1048 epsilon/y for data i = 17 is = 0.1070 epsilon/y for data i = 18 is = -0.0552 epsilon/y for data i = 19 is = -0.0677 epsilon/y for data i = 20 is = 0.0587 epsilon/y for data i = 21 is = 0.1065 epsilon/y for data i = 22 is = -1.6040 epsilon/y for data i = 23 is = -0.1000 epsilon/y for data i = 24 is = -0.3613 epsilon/y for data i = 25 is = 0.0618 epsilon/y for data i = 26 is = 0.1992 epsilon/y for data i = 27 is = -0.0807 epsilon/y for data i = 28 is = -0.3982 epsilon/y for data i = 29 is = -0.0483 epsilon/y for data i = 30 is = 0.2249 epsilon/y for data i = 31 is = -2.4172 epsilon/y for data i = 32 is = -5.5547 epsilon/y for data i = 33 is = -0.0115 epsilon/y for data i = 34 is = -0.3889 epsilon/y for data i = 35 is = -0.5757 epsilon/y for data i = 36 is = 0.2399 epsilon/y for data i = 37 is = 0.3256 epsilon/y for data i = 38 is = 0.1294 epsilon/y for data i = 39 is = 0.0780 epsilon/y for data i = 40 is = -0.0381 epsilon/y for data i = 41 is = 0.1807 epsilon/y for data i = 42 is = 0.0790 epsilon/y for data i = 43 is = 0.1609 epsilon/y for data i = 44 is = -0.7169 epsilon/y for data i = 45 is = -4.3358 epsilon/y for data i = 46 is = -0.4946 epsilon/y for data i = 47 is = -0.0089 epsilon/y for data i = 48 is = -0.1955 epsilon/y for data i = 49 is = -0.1625 epsilon/y for data i = 50 is = -0.0845 epsilon/y for data i = 51 is = -0.1047 epsilon/y for data i = 52 is = 0.1810 epsilon/y for data i = 53 is = 0.1652 epsilon/y for data i = 54 is = 0.1808 epsilon/y for data i = 55 is = 0.0445 epsilon/y for data i = 56 is = 0.1326 epsilon/y for data i = 57 is = 0.0057 epsilon/y for data i = 58 is = 0.0016 epsilon/y for data i = 59 is = -0.1484 epsilon/y for data i = 60 is = 0.3092 epsilon/y for data i = 61 is = -0.8030 epsilon/y for data i = 62 is = 0.2238 epsilon/y for data i = 63 is = 0.1362 epsilon/y for data i = 64 is = 0.0655 epsilon/y for data i = 65 is = -0.5325 epsilon/y for data i = 66 is = 0.2521 epsilon/y for data i = 67 is = -0.1148 epsilon/y for data i = 68 is = 0.2293 epsilon/y for data i = 69 is = 0.2499 epsilon/y for data i = 70 is = -0.0015 epsilon/y for data i = 71 is = 0.5465 epsilon/y for data i = 72 is = 0.2533 epsilon/y for data i = 73 is = 0.0011 epsilon/y for data i = 74 is = 0.1667 epsilon/y for data i = 75 is = -0.1508 epsilon/y for data i = 76 is = -0.1106 epsilon/y for data i = 77 is = -0.1066 epsilon/y for data i = 78 is = 0.3897 epsilon/y for data i = 79 is = 0.2747 epsilon/y for data i = 80 is = -0.3715 epsilon/y for data i = 81 is = 0.2514 epsilon/y for data i = 82 is = -0.0387 epsilon/y for data i = 83 is = 0.2360 epsilon/y for data i = 84 is = 0.2899 epsilon/y for data i = 85 is = 0.1161 epsilon/y for data i = 86 is = -0.1071 epsilon/y for data i = 87 is = 0.3919 epsilon/y for data i = 88 is = 0.1363 epsilon/y for data i = 89 is = -1.1113 SSresid = 3.6537 standard residiance = 0.2014856343 mean y = 0.8082 SSto = 6.5147 standard variance of y = 0.2690 F = 70.4750 standard deviation = 0.2038 R ** 2 = 0.4392 adjusted R ** 2 = 0.4392 ------------------------------------------ a[0]=1.41879 a[1]=0.658928 a[2] has w == 0 r = 0.662695; r^2 = 0.439165; t = 8.30114