Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation Spec: Species scores N NAME AX1 AX2 AX3 AX4 WEIGHT N2 EIG .9699 .2220 .7780 .0301 1 seto sa 7.6844 .2173 -.7615 .2387 50.00 50.00 2 vers icol -1.8435 -.7353 2.5764 -.0573 50.00 50.00 3 virg inic -5.8409 .5180 -1.8150 -.1815 50.00 50.00 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation Samp: Sample scores N NAME AX1 AX2 AX3 AX4 WEIGHT N2 EIG .9699 .2220 .7780 .0301 1 S 7.9231 .9788 -.6753 -.2201 1.00 1.00 2 S 7.9231 .9788 -1.7734 .7225 1.00 1.00 3 S 7.9231 .9788 -1.2469 .3577 1.00 1.00 4 S 7.9231 .9788 -1.6562 1.0412 1.00 1.00 5 S 7.9231 .9788 -.4591 -.2913 1.00 1.00 6 S 7.9231 .9788 .4978 .1434 1.00 1.00 7 S 7.9231 .9788 -.6193 .6377 1.00 1.00 8 S 7.9231 .9788 -.9905 .2410 1.00 1.00 9 S 7.9231 .9788 -2.0043 1.2964 1.00 1.00 10 S 7.9231 .9788 -1.9357 .5059 1.00 1.00 11 S 7.9231 .9788 -.3249 -.5591 1.00 1.00 12 S 7.9231 .9788 -1.0895 .6309 1.00 1.00 13 S 7.9231 .9788 -2.0627 .5224 1.00 1.00 14 S 7.9231 .9788 -1.7924 .2742 1.00 1.00 15 S 7.9231 .9788 .6233 -2.0263 1.00 1.00 16 S 7.9231 .9788 1.7866 -1.3277 1.00 1.00 17 S 7.9231 .9788 .8743 -.7460 1.00 1.00 18 S 7.9231 .9788 -.3885 .0638 1.00 1.00 19 S 7.9231 .9788 -.0004 -.2368 1.00 1.00 20 S 7.9231 .9788 .1733 -.1789 1.00 1.00 21 S 7.9231 .9788 -1.1691 .3506 1.00 1.00 22 S 7.9231 .9788 .2414 .2601 1.00 1.00 23 S 7.9231 .9788 -.0923 -.8456 1.00 1.00 24 S 7.9231 .9788 -.5346 1.6087 1.00 1.00 25 S 7.9231 .9788 -1.3720 1.2980 1.00 1.00 26 S 7.9231 .9788 -1.9593 1.0834 1.00 1.00 27 S 7.9231 .9788 -.5111 1.0312 1.00 1.00 28 S 7.9231 .9788 -.7670 -.0815 1.00 1.00 29 S 7.9231 .9788 -.8915 -.1489 1.00 1.00 30 S 7.9231 .9788 -1.5293 1.0247 1.00 1.00 31 S 7.9231 .9788 -1.7455 1.0960 1.00 1.00 32 S 7.9231 .9788 -.4072 .4738 1.00 1.00 33 S 7.9231 .9788 .2581 -1.2955 1.00 1.00 34 S 7.9231 .9788 .8650 -1.6403 1.00 1.00 35 S 7.9231 .9788 -1.6489 .7898 1.00 1.00 36 S 7.9231 .9788 -1.1454 -.1160 1.00 1.00 37 S 7.9231 .9788 -.5714 -.7775 1.00 1.00 38 S 7.9231 .9788 -.7483 -.4915 1.00 1.00 39 S 7.9231 .9788 -1.6915 .9190 1.00 1.00 40 S 7.9231 .9788 -.9881 .1573 1.00 1.00 41 S 7.9231 .9788 -.2968 -.0748 1.00 1.00 42 S 7.9231 .9788 -2.9328 2.2042 1.00 1.00 43 S 7.9231 .9788 -1.2542 .6090 1.00 1.00 44 S 7.9231 .9788 .2812 1.4440 1.00 1.00 45 S 7.9231 .9788 .0835 .9944 1.00 1.00 46 S 7.9231 .9788 -1.4891 1.0902 1.00 1.00 47 S 7.9231 .9788 -.2076 -.2404 1.00 1.00 48 S 7.9231 .9788 -1.3434 .6638 1.00 1.00 49 S 7.9231 .9788 -.3273 -.4753 1.00 1.00 50 S 7.9231 .9788 -1.1151 .1737 1.00 1.00 51 V -1.9007 -3.3117 3.3406 -.4267 1.00 1.00 52 V -1.9007 -3.3117 3.8010 -.0849 1.00 1.00 53 V -1.9007 -3.3117 3.2180 .5407 1.00 1.00 54 V -1.9007 -3.3117 1.7084 .3846 1.00 1.00 55 V -1.9007 -3.3117 2.8347 .6737 1.00 1.00 56 V -1.9007 -3.3117 2.3358 .5538 1.00 1.00 57 V -1.9007 -3.3117 4.1158 .5725 1.00 1.00 58 V -1.9007 -3.3117 1.7110 -1.6759 1.00 1.00 59 V -1.9007 -3.3117 2.4822 -.1329 1.00 1.00 60 V -1.9007 -3.3117 2.9566 .0774 1.00 1.00 61 V -1.9007 -3.3117 .6505 -.6950 1.00 1.00 62 V -1.9007 -3.3117 3.6340 -.0230 1.00 1.00 63 V -1.9007 -3.3117 .6415 -.7310 1.00 1.00 64 V -1.9007 -3.3117 2.6627 .7923 1.00 1.00 65 V -1.9007 -3.3117 3.3992 -1.5186 1.00 1.00 66 V -1.9007 -3.3117 3.3970 -.6875 1.00 1.00 67 V -1.9007 -3.3117 3.3442 .8953 1.00 1.00 68 V -1.9007 -3.3117 1.6357 -1.1161 1.00 1.00 69 V -1.9007 -3.3117 1.6097 1.6328 1.00 1.00 70 V -1.9007 -3.3117 1.6686 -.7993 1.00 1.00 71 V -1.9007 -3.3117 4.3668 1.8528 1.00 1.00 72 V -1.9007 -3.3117 2.8162 -.8931 1.00 1.00 73 V -1.9007 -3.3117 1.8915 1.9734 1.00 1.00 74 V -1.9007 -3.3117 1.8704 .3795 1.00 1.00 75 V -1.9007 -3.3117 2.7597 -.6324 1.00 1.00 76 V -1.9007 -3.3117 3.1759 -.4487 1.00 1.00 77 V -1.9007 -3.3117 2.3669 .5832 1.00 1.00 78 V -1.9007 -3.3117 3.4739 1.6534 1.00 1.00 79 V -1.9007 -3.3117 3.1353 .7152 1.00 1.00 80 V -1.9007 -3.3117 1.9795 -2.2114 1.00 1.00 81 V -1.9007 -3.3117 1.5417 -.7829 1.00 1.00 82 V -1.9007 -3.3117 1.3490 -1.2892 1.00 1.00 83 V -1.9007 -3.3117 2.3976 -.9930 1.00 1.00 84 V -1.9007 -3.3117 2.4200 2.6433 1.00 1.00 85 V -1.9007 -3.3117 3.3394 1.0629 1.00 1.00 86 V -1.9007 -3.3117 4.5154 .2241 1.00 1.00 87 V -1.9007 -3.3117 3.4014 .2635 1.00 1.00 88 V -1.9007 -3.3117 1.3513 .6038 1.00 1.00 89 V -1.9007 -3.3117 3.1472 -.5619 1.00 1.00 90 V -1.9007 -3.3117 2.1457 .0746 1.00 1.00 91 V -1.9007 -3.3117 1.7009 .5251 1.00 1.00 92 V -1.9007 -3.3117 2.9755 .4149 1.00 1.00 93 V -1.9007 -3.3117 2.0848 -.6156 1.00 1.00 94 V -1.9007 -3.3117 1.4947 -1.6047 1.00 1.00 95 V -1.9007 -3.3117 2.3971 .1255 1.00 1.00 96 V -1.9007 -3.3117 2.7687 -.7072 1.00 1.00 97 V -1.9007 -3.3117 2.8368 -.2683 1.00 1.00 98 V -1.9007 -3.3117 2.7549 -.4648 1.00 1.00 99 V -1.9007 -3.3117 2.5037 -2.3816 1.00 1.00 100 V -1.9007 -3.3117 2.7123 -.3356 1.00 1.00 101 G -6.0224 2.3329 -.1715 1.8963 1.00 1.00 102 G -6.0224 2.3329 -2.3691 -.4593 1.00 1.00 103 G -6.0224 2.3329 -1.8610 .3332 1.00 1.00 104 G -6.0224 2.3329 -2.6771 -.3604 1.00 1.00 105 G -6.0224 2.3329 -1.4947 .8974 1.00 1.00 106 G -6.0224 2.3329 -2.5078 1.4708 1.00 1.00 107 G -6.0224 2.3329 -2.8371 -1.2973 1.00 1.00 108 G -6.0224 2.3329 -3.3117 .3583 1.00 1.00 109 G -6.0224 2.3329 -3.7303 .3693 1.00 1.00 110 G -6.0224 2.3329 .4123 .8997 1.00 1.00 111 G -6.0224 2.3329 -.9720 -1.5369 1.00 1.00 112 G -6.0224 2.3329 -2.5428 -.5173 1.00 1.00 113 G -6.0224 2.3329 -1.4918 -.3049 1.00 1.00 114 G -6.0224 2.3329 -2.4279 -.0040 1.00 1.00 115 G -6.0224 2.3329 -.7164 .8052 1.00 1.00 116 G -6.0224 2.3329 -.3023 -.1567 1.00 1.00 117 G -6.0224 2.3329 -2.3595 -.9053 1.00 1.00 118 G -6.0224 2.3329 -.5635 .6532 1.00 1.00 119 G -6.0224 2.3329 -3.0888 3.2419 1.00 1.00 120 G -6.0224 2.3329 -4.5106 -1.2098 1.00 1.00 121 G -6.0224 2.3329 -.6667 .3138 1.00 1.00 122 G -6.0224 2.3329 -1.6802 -.6076 1.00 1.00 123 G -6.0224 2.3329 -3.3236 1.6355 1.00 1.00 124 G -6.0224 2.3329 -2.4555 -1.6068 1.00 1.00 125 G -6.0224 2.3329 -1.0265 -.2414 1.00 1.00 126 G -6.0224 2.3329 -2.3758 -.6900 1.00 1.00 127 G -6.0224 2.3329 -2.1451 -1.9004 1.00 1.00 128 G -6.0224 2.3329 -1.8044 -1.9043 1.00 1.00 129 G -6.0224 2.3329 -2.0329 .5626 1.00 1.00 130 G -6.0224 2.3329 -3.1984 -1.3925 1.00 1.00 131 G -6.0224 2.3329 -3.0529 .2688 1.00 1.00 132 G -6.0224 2.3329 -.8498 -.7492 1.00 1.00 133 G -6.0224 2.3329 -1.7461 .8465 1.00 1.00 134 G -6.0224 2.3329 -3.2855 -2.1688 1.00 1.00 135 G -6.0224 2.3329 -4.4852 -.8634 1.00 1.00 136 G -6.0224 2.3329 -1.4611 .8431 1.00 1.00 137 G -6.0224 2.3329 .1369 .5680 1.00 1.00 138 G -6.0224 2.3329 -2.1433 -.9765 1.00 1.00 139 G -6.0224 2.3329 -1.7127 -2.0429 1.00 1.00 140 G -6.0224 2.3329 -1.1765 -.7660 1.00 1.00 141 G -6.0224 2.3329 -.5093 .6980 1.00 1.00 142 G -6.0224 2.3329 -.3205 -.8652 1.00 1.00 143 G -6.0224 2.3329 -2.3691 -.4593 1.00 1.00 144 G -6.0224 2.3329 -.8574 .8423 1.00 1.00 145 G -6.0224 2.3329 .1207 .8942 1.00 1.00 146 G -6.0224 2.3329 -.6382 -.3203 1.00 1.00 147 G -6.0224 2.3329 -2.7001 -.7905 1.00 1.00 148 G -6.0224 2.3329 -1.5035 -1.0045 1.00 1.00 149 G -6.0224 2.3329 .0360 -.0768 1.00 1.00 150 G -6.0224 2.3329 -1.9975 -1.2920 1.00 1.00 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation Tol : Species tolerance (root mean squared deviation for species) N NAME AX1 AX2 AX3 AX4 RMSTOL N2 FR FITTED .4849 .1110 .3890 .0151 1 seto sa .8474 .9138 .9138 .8475 88.12 50.00 2 vers icol 1.0361 .8735 .8735 1.0362 95.83 50.00 3 virg inic 1.0991 1.1841 1.1841 1.0992 114.24 50.00 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation Het : Sample heterogeneity (root mean squared deviation for samples) N NAME AX1 AX2 AX3 AX4 RMSTOL N2 FR FITTED .4849 .1110 .3890 .0151 1 S .4588 .0862 .0862 .4588 33.01 1.00 2 S .4838 1.0120 1.0120 .4838 79.31 1.00 3 S .1190 .4854 .4854 .1190 35.34 1.00 4 S .8024 .8948 .8948 .8025 84.98 1.00 5 S .5300 .3024 .3024 .5300 43.15 1.00 6 S .0953 1.2592 1.2592 .0953 89.30 1.00 7 S .3990 .1421 .1421 .3990 29.95 1.00 8 S .0023 .2291 .2291 .0023 16.20 1.00 9 S 1.0576 1.2428 1.2428 1.0577 115.39 1.00 10 S .2672 1.1743 1.1743 .2672 85.16 1.00 11 S .7978 .4366 .4366 .7978 64.31 1.00 12 S .3922 .3281 .3281 .3922 36.16 1.00 13 S .2837 1.3012 1.3012 .2837 94.17 1.00 14 S .0355 1.0310 1.0310 .0355 72.94 1.00 15 S 2.2648 1.3847 1.3847 2.2650 187.71 1.00 16 S 1.5663 2.5481 2.5481 1.5664 211.50 1.00 17 S .9847 1.6358 1.6358 .9847 135.01 1.00 18 S .1749 .3730 .3730 .1749 29.13 1.00 19 S .4755 .7611 .7611 .4755 63.46 1.00 20 S .4176 .9348 .9348 .4176 72.39 1.00 21 S .1119 .4076 .4076 .1119 29.89 1.00 22 S .0213 1.0029 1.0029 .0213 70.93 1.00 23 S 1.0843 .6692 .6692 1.0844 90.10 1.00 24 S 1.3699 .2268 .2268 1.3700 98.19 1.00 25 S 1.0592 .6105 .6105 1.0593 86.45 1.00 26 S .8447 1.1978 1.1978 .8447 103.64 1.00 27 S .7924 .2504 .2504 .7925 58.77 1.00 28 S .3202 .0056 .0056 .3202 22.65 1.00 29 S .3875 .1301 .1301 .3876 28.91 1.00 30 S .7860 .7678 .7678 .7860 77.70 1.00 31 S .8572 .9840 .9840 .8573 92.28 1.00 32 S .2350 .3543 .3543 .2350 30.06 1.00 33 S 1.5341 1.0195 1.0195 1.5342 130.25 1.00 34 S 1.8789 1.6264 1.6264 1.8790 175.72 1.00 35 S .5511 .8875 .8875 .5511 73.87 1.00 36 S .3547 .3840 .3840 .3547 36.96 1.00 37 S 1.0162 .1900 .1900 1.0163 73.10 1.00 38 S .7301 .0131 .0131 .7302 51.64 1.00 39 S .6803 .9300 .9300 .6803 81.48 1.00 40 S .0814 .2266 .2266 .0814 17.03 1.00 41 S .3135 .4647 .4647 .3135 39.63 1.00 42 S 1.9654 2.1713 2.1713 1.9655 207.10 1.00 43 S .3703 .4927 .4927 .3703 43.58 1.00 44 S 1.2052 1.0426 1.0426 1.2053 112.69 1.00 45 S .7557 .8450 .8450 .7557 80.16 1.00 46 S .8514 .7276 .7276 .8515 79.20 1.00 47 S .4791 .5538 .5538 .4791 51.78 1.00 48 S .4251 .5820 .5820 .4251 50.96 1.00 49 S .7140 .4342 .4342 .7140 59.09 1.00 50 S .0650 .3536 .3536 .0650 25.42 1.00 51 V .3695 .7641 .7641 .3695 60.02 1.00 52 V .0276 1.2246 1.2246 .0276 86.61 1.00 53 V .5979 .6416 .6416 .5979 62.01 1.00 54 V .4419 .8681 .8681 .4419 68.88 1.00 55 V .7310 .2583 .2583 .7310 54.82 1.00 56 V .6110 .2407 .2407 .6110 46.44 1.00 57 V .6297 1.5393 1.5393 .6297 117.60 1.00 58 V 1.6186 .8655 .8655 1.6187 129.79 1.00 59 V .0756 .0942 .0942 .0756 8.54 1.00 60 V .1347 .3802 .3802 .1347 28.52 1.00 61 V .6376 1.9259 1.9259 .6377 143.45 1.00 62 V .0342 1.0575 1.0575 .0342 74.82 1.00 63 V .6737 1.9350 1.9350 .6737 144.88 1.00 64 V .8495 .0863 .0863 .8495 60.38 1.00 65 V 1.4613 .8228 .8228 1.4614 118.58 1.00 66 V .6301 .8206 .8206 .6302 73.16 1.00 67 V .9525 .7678 .7678 .9526 86.51 1.00 68 V 1.0588 .9407 .9407 1.0589 100.15 1.00 69 V 1.6899 .9668 .9668 1.6900 137.67 1.00 70 V .7420 .9078 .9078 .7421 82.91 1.00 71 V 1.9099 1.7904 1.7904 1.9100 185.11 1.00 72 V .8358 .2398 .2398 .8358 61.48 1.00 73 V 2.0305 .6849 .6849 2.0306 151.53 1.00 74 V .4367 .7060 .7060 .4367 58.70 1.00 75 V .5751 .1833 .1833 .5751 42.68 1.00 76 V .3914 .5995 .5995 .3914 50.63 1.00 77 V .6404 .2095 .2095 .6405 47.65 1.00 78 V 1.7105 .8975 .8975 1.7106 136.60 1.00 79 V .7725 .5589 .5589 .7725 67.42 1.00 80 V 2.1540 .5970 .5970 2.1542 158.06 1.00 81 V .7256 1.0348 1.0348 .7256 89.37 1.00 82 V 1.2318 1.2274 1.2274 1.2319 122.96 1.00 83 V .9357 .1788 .1788 .9357 67.36 1.00 84 V 2.7004 .1564 .1564 2.7005 191.27 1.00 85 V 1.1201 .7629 .7629 1.1201 95.83 1.00 86 V .2813 1.9390 1.9390 .2814 138.54 1.00 87 V .3207 .8250 .8250 .3208 62.59 1.00 88 V .6611 1.2252 1.2252 .6611 98.44 1.00 89 V .5046 .5708 .5708 .5046 53.87 1.00 90 V .1319 .4308 .4308 .1319 31.86 1.00 91 V .5823 .8755 .8755 .5823 74.35 1.00 92 V .4721 .3990 .3990 .4722 43.71 1.00 93 V .5583 .4916 .4916 .5584 52.61 1.00 94 V 1.5473 1.0817 1.0817 1.5474 133.50 1.00 95 V .1828 .1793 .1793 .1828 18.10 1.00 96 V .6499 .1923 .1923 .6500 47.93 1.00 97 V .2110 .2604 .2604 .2110 23.70 1.00 98 V .4075 .1784 .1784 .4076 31.46 1.00 99 V 2.3242 .0727 .0727 2.3244 164.43 1.00 100 V .2784 .1359 .1359 .2784 21.90 1.00 101 G 2.0777 1.6435 1.6435 2.0778 187.32 1.00 102 G .2779 .5542 .5542 .2779 43.83 1.00 103 G .5146 .0461 .0461 .5146 36.54 1.00 104 G .1789 .8622 .8622 .1789 62.26 1.00 105 G 1.0788 .3203 .3203 1.0788 79.57 1.00 106 G 1.6521 .6928 .6928 1.6522 126.68 1.00 107 G 1.1157 1.0221 1.0221 1.1158 107.00 1.00 108 G .5398 1.4968 1.4968 .5398 112.51 1.00 109 G .5507 1.9153 1.9153 .5507 140.92 1.00 110 G 1.0811 2.2272 2.2272 1.0811 175.06 1.00 111 G 1.3554 .8429 .8429 1.3554 112.86 1.00 112 G .3358 .7278 .7278 .3358 56.68 1.00 113 G .1234 .3232 .3232 .1234 24.46 1.00 114 G .1775 .6129 .6129 .1775 45.12 1.00 115 G .9866 1.0985 1.0985 .9867 104.41 1.00 116 G .0248 1.5126 1.5126 .0248 106.97 1.00 117 G .7238 .5445 .5445 .7238 64.05 1.00 118 G .8346 1.2514 1.2514 .8346 106.36 1.00 119 G 3.4232 1.2738 1.2738 3.4234 258.28 1.00 120 G 1.0283 2.6956 2.6956 1.0283 204.01 1.00 121 G .4953 1.1483 1.1483 .4953 88.42 1.00 122 G .4261 .1347 .1347 .4261 31.60 1.00 123 G 1.8168 1.5087 1.5087 1.8169 166.99 1.00 124 G 1.4253 .6405 .6405 1.4253 110.49 1.00 125 G .0600 .7884 .7884 .0600 55.91 1.00 126 G .5085 .5609 .5609 .5085 53.53 1.00 127 G 1.7188 .3301 .3301 1.7189 123.77 1.00 128 G 1.7227 .0106 .0106 1.7228 121.82 1.00 129 G .7440 .2180 .2180 .7440 54.82 1.00 130 G 1.2109 1.3835 1.3835 1.2110 130.01 1.00 131 G .4502 1.2379 1.2379 .4502 93.14 1.00 132 G .5678 .9651 .9651 .5678 79.18 1.00 133 G 1.0279 .0688 .0688 1.0279 72.85 1.00 134 G 1.9873 1.4705 1.4705 1.9874 174.81 1.00 135 G .6819 2.6702 2.6702 .6820 194.87 1.00 136 G 1.0245 .3539 .3539 1.0245 76.64 1.00 137 G .7494 1.9519 1.9519 .7495 147.84 1.00 138 G .7950 .3283 .3283 .7951 60.82 1.00 139 G 1.8613 .1023 .1023 1.8614 131.82 1.00 140 G .5845 .6384 .6384 .5846 61.21 1.00 141 G .8794 1.3057 1.3057 .8794 111.31 1.00 142 G .6838 1.4944 1.4944 .6838 116.21 1.00 143 G .2779 .5542 .5542 .2779 43.83 1.00 144 G 1.0237 .9575 .9575 1.0238 99.12 1.00 145 G 1.0756 1.9356 1.9356 1.0756 156.58 1.00 146 G .1389 1.1768 1.1768 .1389 83.79 1.00 147 G .6090 .8851 .8851 .6091 75.97 1.00 148 G .8230 .3115 .3115 .8231 62.23 1.00 149 G .1046 1.8509 1.8509 .1046 131.09 1.00 150 G 1.1105 .1826 .1826 1.1106 79.58 1.00 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation CFit: Cumulative fit per species as fraction of variance of species N NAME AX1 AX2 AX3 AX4 VAR(y) % EXPL FR FITTED .4849 .1110 .3890 .0151 1 seto sa .8896 .9080 .9724 1.0000 2.00 90.80 2 vers icol .0512 .2615 .9984 1.0000 2.00 26.15 3 virg inic .5140 .6183 .9840 1.0000 2.00 61.83 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation SqRL: Squared residual length per sample with s axes (s=1...4) N NAME AX1 AX2 AX3 AX4 SQLENG % FIT FR FITTED .4849 .1110 .3890 .0151 1 S .1669 .0802 .0014 .0000 2.00 100.00 2 S .1807 .5585 .0153 .0000 2.00 100.00 3 S .1692 .2723 .0037 .0000 2.00 100.00 4 S .1972 .5055 .0317 .0000 2.00 100.00 5 S .1680 .0389 .0025 .0000 2.00 100.00 6 S .1661 .0434 .0006 .0000 2.00 100.00 7 S .1774 .0781 .0119 .0000 2.00 100.00 8 S .1672 .1712 .0017 .0000 2.00 100.00 9 S .2146 .7430 .0491 .0000 2.00 100.00 10 S .1730 .6547 .0075 .0000 2.00 100.00 11 S .1746 .0274 .0091 .0000 2.00 100.00 12 S .1771 .2167 .0116 .0000 2.00 100.00 13 S .1735 .7429 .0080 .0000 2.00 100.00 14 S .1677 .5571 .0022 .0000 2.00 100.00 15 S .2855 .1871 .1200 .0000 2.00 100.00 16 S .2170 .6029 .0515 .0000 2.00 100.00 17 S .1817 .1483 .0163 .0000 2.00 100.00 18 S .1656 .0262 .0001 .0000 2.00 100.00 19 S .1671 .0016 .0016 .0000 2.00 100.00 20 S .1664 .0061 .0009 .0000 2.00 100.00 21 S .1691 .2397 .0036 .0000 2.00 100.00 22 S .1675 .0120 .0020 .0000 2.00 100.00 23 S .1864 .0224 .0209 .0000 2.00 100.00 24 S .2411 .1250 .0756 .0000 2.00 100.00 25 S .2147 .3744 .0492 .0000 2.00 100.00 26 S .1998 .6974 .0343 .0000 2.00 100.00 27 S .1966 .0762 .0311 .0000 2.00 100.00 28 S .1657 .1018 .0002 .0000 2.00 100.00 29 S .1661 .1379 .0006 .0000 2.00 100.00 30 S .1962 .4347 .0307 .0000 2.00 100.00 31 S .2006 .5614 .0351 .0000 2.00 100.00 32 S .1720 .0352 .0066 .0000 2.00 100.00 33 S .2145 .0605 .0490 .0000 2.00 100.00 34 S .2441 .2078 .0786 .0000 2.00 100.00 35 S .1837 .4879 .0182 .0000 2.00 100.00 36 S .1659 .2270 .0004 .0000 2.00 100.00 37 S .1831 .0741 .0177 .0000 2.00 100.00 38 S .1725 .1038 .0071 .0000 2.00 100.00 39 S .1902 .5189 .0247 .0000 2.00 100.00 40 S .1662 .1694 .0007 .0000 2.00 100.00 41 S .1656 .0154 .0002 .0000 2.00 100.00 42 S .3075 1.6277 .1420 .0000 2.00 100.00 43 S .1763 .2825 .0108 .0000 2.00 100.00 44 S .2264 .0746 .0609 .0000 2.00 100.00 45 S .1944 .0301 .0289 .0000 2.00 100.00 46 S .2002 .4177 .0347 .0000 2.00 100.00 47 S .1672 .0091 .0017 .0000 2.00 100.00 48 S .1784 .3246 .0129 .0000 2.00 100.00 49 S .1721 .0251 .0066 .0000 2.00 100.00 50 S .1664 .2156 .0009 .0000 2.00 100.00 51 V 1.8997 1.9329 .0053 .0000 2.00 100.00 52 V 1.8946 2.4958 .0002 .0000 2.00 100.00 53 V 1.9030 1.7973 .0085 .0000 2.00 100.00 54 V 1.8987 .5084 .0043 .0000 2.00 100.00 55 V 1.9077 1.4013 .0133 .0000 2.00 100.00 56 V 1.9034 .9514 .0090 .0000 2.00 100.00 57 V 1.9040 2.9355 .0096 .0000 2.00 100.00 58 V 1.9765 .5877 .0821 .0000 2.00 100.00 59 V 1.8949 1.0648 .0005 .0000 2.00 100.00 60 V 1.8946 1.5101 .0002 .0000 2.00 100.00 61 V 1.9085 .0872 .0141 .0000 2.00 100.00 62 V 1.8944 2.2810 .0000 .0000 2.00 100.00 63 V 1.9100 .0867 .0156 .0000 2.00 100.00 64 V 1.9128 1.2430 .0183 .0000 2.00 100.00 65 V 1.9618 2.0633 .0674 .0000 2.00 100.00 66 V 1.9082 2.0071 .0138 .0000 2.00 100.00 67 V 1.9178 1.9552 .0234 .0000 2.00 100.00 68 V 1.9308 .4986 .0364 .0000 2.00 100.00 69 V 1.9723 .5254 .0779 .0000 2.00 100.00 70 V 1.9131 .4996 .0187 .0000 2.00 100.00 71 V 1.9947 3.3942 .1003 .0000 2.00 100.00 72 V 1.9177 1.3932 .0233 .0000 2.00 100.00 73 V 2.0082 .7318 .1138 .0000 2.00 100.00 74 V 1.8986 .6085 .0042 .0000 2.00 100.00 75 V 1.9061 1.3272 .0117 .0000 2.00 100.00 76 V 1.9003 1.7481 .0059 .0000 2.00 100.00 77 V 1.9044 .9777 .0099 .0000 2.00 100.00 78 V 1.9743 2.1644 .0799 .0000 2.00 100.00 79 V 1.9094 1.7129 .0149 .0000 2.00 100.00 80 V 2.0373 .8197 .1429 .0000 2.00 100.00 81 V 1.9123 .4285 .0179 .0000 2.00 100.00 82 V 1.9430 .3629 .0486 .0000 2.00 100.00 83 V 1.9232 1.0217 .0288 .0000 2.00 100.00 84 V 2.0986 1.2157 .2042 .0000 2.00 100.00 85 V 1.9274 1.9592 .0330 .0000 2.00 100.00 86 V 1.8959 3.5232 .0015 .0000 2.00 100.00 87 V 1.8964 2.0004 .0020 .0000 2.00 100.00 88 V 1.9051 .3261 .0107 .0000 2.00 100.00 89 V 1.9036 1.7201 .0092 .0000 2.00 100.00 90 V 1.8946 .7954 .0002 .0000 2.00 100.00 91 V 1.9025 .5078 .0081 .0000 2.00 100.00 92 V 1.8995 1.5343 .0050 .0000 2.00 100.00 93 V 1.9055 .7618 .0111 .0000 2.00 100.00 94 V 1.9697 .4612 .0752 .0000 2.00 100.00 95 V 1.8949 .9930 .0005 .0000 2.00 100.00 96 V 1.9090 1.3387 .0146 .0000 2.00 100.00 97 V 1.8965 1.3922 .0021 .0000 2.00 100.00 98 V 1.9007 1.3172 .0063 .0000 2.00 100.00 99 V 2.0602 1.2485 .1657 .0000 2.00 100.00 100 V 1.8977 1.2740 .0033 .0000 2.00 100.00 101 G 1.0452 .1102 .1051 .0000 2.00 100.00 102 G .9463 .9756 .0062 .0000 2.00 100.00 103 G .9433 .6015 .0032 .0000 2.00 100.00 104 G .9439 1.2418 .0038 .0000 2.00 100.00 105 G .9636 .4094 .0235 .0000 2.00 100.00 106 G 1.0033 1.1495 .0632 .0000 2.00 100.00 107 G .9893 1.4395 .0492 .0000 2.00 100.00 108 G .9439 1.8982 .0038 .0000 2.00 100.00 109 G .9441 2.4075 .0040 .0000 2.00 100.00 110 G .9637 .0530 .0237 .0000 2.00 100.00 111 G 1.0091 .2322 .0690 .0000 2.00 100.00 112 G .9479 1.1246 .0078 .0000 2.00 100.00 113 G .9428 .3871 .0027 .0000 2.00 100.00 114 G .9401 1.0182 .0000 .0000 2.00 100.00 115 G .9590 .1076 .0189 .0000 2.00 100.00 116 G .9408 .0165 .0007 .0000 2.00 100.00 117 G .9640 .9856 .0239 .0000 2.00 100.00 118 G .9526 .0673 .0125 .0000 2.00 100.00 119 G 1.2472 1.9551 .3071 .0000 2.00 100.00 120 G .9829 3.5570 .0428 .0000 2.00 100.00 121 G .9430 .0797 .0029 .0000 2.00 100.00 122 G .9509 .4984 .0108 .0000 2.00 100.00 123 G 1.0183 1.9862 .0782 .0000 2.00 100.00 124 G 1.0155 1.1169 .0754 .0000 2.00 100.00 125 G .9418 .1837 .0017 .0000 2.00 100.00 126 G .9540 .9889 .0139 .0000 2.00 100.00 127 G 1.0456 .9003 .1055 .0000 2.00 100.00 128 G 1.0461 .6683 .1060 .0000 2.00 100.00 129 G .9493 .7231 .0092 .0000 2.00 100.00 130 G .9968 1.8237 .0567 .0000 2.00 100.00 131 G .9422 1.6120 .0021 .0000 2.00 100.00 132 G .9565 .1412 .0164 .0000 2.00 100.00 133 G .9610 .5476 .0209 .0000 2.00 100.00 134 G 1.0775 2.0020 .1374 .0000 2.00 100.00 135 G .9619 3.4965 .0218 .0000 2.00 100.00 136 G .9609 .3895 .0208 .0000 2.00 100.00 137 G .9495 .0127 .0094 .0000 2.00 100.00 138 G .9680 .8213 .0279 .0000 2.00 100.00 139 G 1.0620 .6286 .1219 .0000 2.00 100.00 140 G .9572 .2562 .0171 .0000 2.00 100.00 141 G .9543 .0590 .0142 .0000 2.00 100.00 142 G .9620 .0396 .0219 .0000 2.00 100.00 143 G .9463 .9756 .0062 .0000 2.00 100.00 144 G .9608 .1477 .0207 .0000 2.00 100.00 145 G .9635 .0259 .0234 .0000 2.00 100.00 146 G .9431 .0733 .0030 .0000 2.00 100.00 147 G .9584 1.2776 .0183 .0000 2.00 100.00 148 G .9696 .4199 .0295 .0000 2.00 100.00 149 G .9403 .0004 .0002 .0000 2.00 100.00 150 G .9889 .7380 .0488 .0000 2.00 100.00 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation Regr: Regression/canonical coefficients for standardized variables N NAME AX1 AX2 AX3 AX4 EIG .9699 .2220 .7780 .0301 1 Seplengt .6913 .0201 .0000 .0000 2 Sepwidth .6733 .9498 .0000 .0000 3 Petlengt -3.9118 -1.6563 .0000 .0000 4 Petwidth -2.1567 2.1788 .0000 .0000 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation tVal: t-values of regression coefficients N NAME AX1 AX2 AX3 AX4 FR EXPLAINED .8137 .1863 .0000 .0000 1 Seplengt 3.0829 .0429 .0000 .0000 2 Sepwidth 5.5094 3.7182 .0000 .0000 3 Petlengt -8.2972 -1.6808 .0000 .0000 4 Petwidth -6.3763 3.0819 .0000 .0000 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation CorE: Inter set correlations of environmental variables with axes N NAME AX1 AX2 AX3 AX4 FR EXTRACTED .6850 .0374 .0000 .0000 1 Seplengt -.7799 .1025 .0000 .0000 2 Sepwidth .5227 .3572 .0000 .0000 3 Petlengt -.9700 .0217 .0000 .0000 4 Petwidth -.9580 .1050 .0000 .0000 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation BipE: Biplot scores of environmental variables N NAME AX1 AX2 AX3 AX4 R(SPEC,ENV) .9848 .4712 .0000 .0000 1 Seplengt -.1375 .1919 .0000 .0000 2 Sepwidth .0921 .6686 .0000 .0000 3 Petlengt -.1710 .0406 .0000 .0000 4 Petwidth -.1689 .1966 .0000 .0000 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation CenE: Centroids of environmental variables (mean.gt.0) in ordination diagram N NAME AX1 AX2 AX3 AX4 R(SPEC,ENV) .9848 .4712 .0000 .0000 1 Seplengt -.6443 .0348 .0000 .0000 2 Sepwidth .4345 .1221 .0000 .0000 3 Petlengt -2.6565 .0244 .0000 .0000 4 Petwidth -3.5499 .1601 .0000 .0000 Fisher's Iris data: setosa(1), versicolor(2) and virginia (3) CCA Canonical axes: 2 Covariables: 0 Scaling: -2 No transformation SamE: Sample scores which are linear combinations of environmental variables N NAME AX1 AX2 AX3 AX4 WEIGHT % FIT EIG .9699 .2220 .7780 .0301 1 S 8.1432 .3035 .0000 .0000 1.00 100.00 2 S 7.2006 -.7946 .0000 .0000 1.00 100.00 3 S 7.5654 -.2681 .0000 .0000 1.00 100.00 4 S 6.8820 -.6774 .0000 .0000 1.00 100.00 5 S 8.2144 .5197 .0000 .0000 1.00 100.00 6 S 7.7797 1.4766 .0000 .0000 1.00 100.00 7 S 7.2854 .3594 .0000 .0000 1.00 100.00 8 S 7.6821 -.0118 .0000 .0000 1.00 100.00 9 S 6.6268 -1.0255 .0000 .0000 1.00 100.00 10 S 7.4172 -.9569 .0000 .0000 1.00 100.00 11 S 8.4821 .6539 .0000 .0000 1.00 100.00 12 S 7.2922 -.1108 .0000 .0000 1.00 100.00 13 S 7.4007 -1.0839 .0000 .0000 1.00 100.00 14 S 7.6489 -.8136 .0000 .0000 1.00 100.00 15 S 9.9492 1.6020 .0000 .0000 1.00 100.00 16 S 9.2507 2.7654 .0000 .0000 1.00 100.00 17 S 8.6690 1.8531 .0000 .0000 1.00 100.00 18 S 7.8593 .5903 .0000 .0000 1.00 100.00 19 S 8.1599 .9784 .0000 .0000 1.00 100.00 20 S 8.1019 1.1521 .0000 .0000 1.00 100.00 21 S 7.5725 -.1903 .0000 .0000 1.00 100.00 22 S 7.6631 1.2202 .0000 .0000 1.00 100.00 23 S 8.7687 .8865 .0000 .0000 1.00 100.00 24 S 6.3145 .4442 .0000 .0000 1.00 100.00 25 S 6.6252 -.3932 .0000 .0000 1.00 100.00 26 S 6.8397 -.9805 .0000 .0000 1.00 100.00 27 S 6.8919 .4677 .0000 .0000 1.00 100.00 28 S 8.0046 .2118 .0000 .0000 1.00 100.00 29 S 8.0719 .0873 .0000 .0000 1.00 100.00 30 S 6.8984 -.5505 .0000 .0000 1.00 100.00 31 S 6.8272 -.7667 .0000 .0000 1.00 100.00 32 S 7.4494 .5716 .0000 .0000 1.00 100.00 33 S 9.2185 1.2369 .0000 .0000 1.00 100.00 34 S 9.5633 1.8438 .0000 .0000 1.00 100.00 35 S 7.1333 -.6701 .0000 .0000 1.00 100.00 36 S 8.0391 -.1666 .0000 .0000 1.00 100.00 37 S 8.7006 .4073 .0000 .0000 1.00 100.00 38 S 8.4145 .2304 .0000 .0000 1.00 100.00 39 S 7.0041 -.7127 .0000 .0000 1.00 100.00 40 S 7.7658 -.0093 .0000 .0000 1.00 100.00 41 S 7.9978 .6820 .0000 .0000 1.00 100.00 42 S 5.7190 -1.9540 .0000 .0000 1.00 100.00 43 S 7.3141 -.2754 .0000 .0000 1.00 100.00 44 S 6.4792 1.2600 .0000 .0000 1.00 100.00 45 S 6.9287 1.0623 .0000 .0000 1.00 100.00 46 S 6.8330 -.5103 .0000 .0000 1.00 100.00 47 S 8.1635 .7711 .0000 .0000 1.00 100.00 48 S 7.2593 -.3647 .0000 .0000 1.00 100.00 49 S 8.3984 .6515 .0000 .0000 1.00 100.00 50 S 7.7494 -.1363 .0000 .0000 1.00 100.00 51 V -1.4740 .0288 .0000 .0000 1.00 100.00 52 V -1.8159 .4893 .0000 .0000 1.00 100.00 53 V -2.4414 -.0937 .0000 .0000 1.00 100.00 54 V -2.2853 -1.6034 .0000 .0000 1.00 100.00 55 V -2.5744 -.4770 .0000 .0000 1.00 100.00 56 V -2.4545 -.9759 .0000 .0000 1.00 100.00 57 V -2.4732 .8040 .0000 .0000 1.00 100.00 58 V -.2249 -1.6008 .0000 .0000 1.00 100.00 59 V -1.7679 -.8295 .0000 .0000 1.00 100.00 60 V -1.9782 -.3551 .0000 .0000 1.00 100.00 61 V -1.2058 -2.6612 .0000 .0000 1.00 100.00 62 V -1.8777 .3222 .0000 .0000 1.00 100.00 63 V -1.1698 -2.6702 .0000 .0000 1.00 100.00 64 V -2.6929 -.6490 .0000 .0000 1.00 100.00 65 V -.3822 .0875 .0000 .0000 1.00 100.00 66 V -1.2133 .0853 .0000 .0000 1.00 100.00 67 V -2.7960 .0325 .0000 .0000 1.00 100.00 68 V -.7847 -1.6760 .0000 .0000 1.00 100.00 69 V -3.5334 -1.7021 .0000 .0000 1.00 100.00 70 V -1.1014 -1.6431 .0000 .0000 1.00 100.00 71 V -3.7534 1.0551 .0000 .0000 1.00 100.00 72 V -1.0077 -.4955 .0000 .0000 1.00 100.00 73 V -3.8740 -1.4202 .0000 .0000 1.00 100.00 74 V -2.2802 -1.4413 .0000 .0000 1.00 100.00 75 V -1.2684 -.5520 .0000 .0000 1.00 100.00 76 V -1.4521 -.1358 .0000 .0000 1.00 100.00 77 V -2.4839 -.9448 .0000 .0000 1.00 100.00 78 V -3.5540 .1622 .0000 .0000 1.00 100.00 79 V -2.6159 -.1764 .0000 .0000 1.00 100.00 80 V .3106 -1.3323 .0000 .0000 1.00 100.00 81 V -1.1179 -1.7700 .0000 .0000 1.00 100.00 82 V -.6116 -1.9627 .0000 .0000 1.00 100.00 83 V -.9078 -.9141 .0000 .0000 1.00 100.00 84 V -4.5438 -.8917 .0000 .0000 1.00 100.00 85 V -2.9635 .0277 .0000 .0000 1.00 100.00 86 V -2.1248 1.2037 .0000 .0000 1.00 100.00 87 V -2.1642 .0897 .0000 .0000 1.00 100.00 88 V -2.5045 -1.9604 .0000 .0000 1.00 100.00 89 V -1.3389 -.1645 .0000 .0000 1.00 100.00 90 V -1.9753 -1.1661 .0000 .0000 1.00 100.00 91 V -2.4258 -1.6108 .0000 .0000 1.00 100.00 92 V -2.3156 -.3362 .0000 .0000 1.00 100.00 93 V -1.2851 -1.2269 .0000 .0000 1.00 100.00 94 V -.2961 -1.8170 .0000 .0000 1.00 100.00 95 V -2.0262 -.9146 .0000 .0000 1.00 100.00 96 V -1.1936 -.5430 .0000 .0000 1.00 100.00 97 V -1.6324 -.4749 .0000 .0000 1.00 100.00 98 V -1.4359 -.5568 .0000 .0000 1.00 100.00 99 V .4807 -.8080 .0000 .0000 1.00 100.00 100 V -1.5651 -.5994 .0000 .0000 1.00 100.00 101 G -7.9186 2.1615 .0000 .0000 1.00 100.00 102 G -5.5631 -.0362 .0000 .0000 1.00 100.00 103 G -6.3555 .4719 .0000 .0000 1.00 100.00 104 G -5.6620 -.3442 .0000 .0000 1.00 100.00 105 G -6.9197 .8383 .0000 .0000 1.00 100.00 106 G -7.4930 -.1749 .0000 .0000 1.00 100.00 107 G -4.7252 -.5042 .0000 .0000 1.00 100.00 108 G -6.3807 -.9788 .0000 .0000 1.00 100.00 109 G -6.3916 -1.3973 .0000 .0000 1.00 100.00 110 G -6.9220 2.7452 .0000 .0000 1.00 100.00 111 G -4.4856 1.3609 .0000 .0000 1.00 100.00 112 G -5.5051 -.2098 .0000 .0000 1.00 100.00 113 G -5.7175 .8412 .0000 .0000 1.00 100.00 114 G -6.0184 -.0950 .0000 .0000 1.00 100.00 115 G -6.8275 1.6165 .0000 .0000 1.00 100.00 116 G -5.8657 2.0306 .0000 .0000 1.00 100.00 117 G -5.1171 -.0265 .0000 .0000 1.00 100.00 118 G -6.6755 1.7694 .0000 .0000 1.00 100.00 119 G -9.2641 -.7559 .0000 .0000 1.00 100.00 120 G -4.8126 -2.1776 .0000 .0000 1.00 100.00 121 G -6.3362 1.6662 .0000 .0000 1.00 100.00 122 G -5.4148 .6527 .0000 .0000 1.00 100.00 123 G -7.6577 -.9907 .0000 .0000 1.00 100.00 124 G -4.4157 -.1225 .0000 .0000 1.00 100.00 125 G -5.7809 1.3064 .0000 .0000 1.00 100.00 126 G -5.3324 -.0429 .0000 .0000 1.00 100.00 127 G -4.1221 .1878 .0000 .0000 1.00 100.00 128 G -4.1182 .5286 .0000 .0000 1.00 100.00 129 G -6.5849 .3000 .0000 .0000 1.00 100.00 130 G -4.6300 -.8655 .0000 .0000 1.00 100.00 131 G -6.2911 -.7200 .0000 .0000 1.00 100.00 132 G -5.2731 1.4831 .0000 .0000 1.00 100.00 133 G -6.8688 .5868 .0000 .0000 1.00 100.00 134 G -3.8536 -.9526 .0000 .0000 1.00 100.00 135 G -5.1590 -2.1522 .0000 .0000 1.00 100.00 136 G -6.8654 .8719 .0000 .0000 1.00 100.00 137 G -6.5903 2.4699 .0000 .0000 1.00 100.00 138 G -5.0459 .1897 .0000 .0000 1.00 100.00 139 G -3.9796 .6203 .0000 .0000 1.00 100.00 140 G -5.2564 1.1564 .0000 .0000 1.00 100.00 141 G -6.7203 1.8236 .0000 .0000 1.00 100.00 142 G -5.1572 2.0124 .0000 .0000 1.00 100.00 143 G -5.5631 -.0362 .0000 .0000 1.00 100.00 144 G -6.8646 1.4755 .0000 .0000 1.00 100.00 145 G -6.9165 2.4536 .0000 .0000 1.00 100.00 146 G -5.7020 1.6948 .0000 .0000 1.00 100.00 147 G -5.2319 -.3672 .0000 .0000 1.00 100.00 148 G -5.0179 .8295 .0000 .0000 1.00 100.00 149 G -5.9455 2.3689 .0000 .0000 1.00 100.00 150 G -4.7304 .3354 .0000 .0000 1.00 100.00