常州 网站优化/廊坊网站排名优化公司哪家好
书中第364页得案例33：从样本观测值矩阵出发求解主成分，我照着书中例子和程序
> [x,textdata]=xlsread('exampl1_02.xls');
>> xz=zscore(x);
>> [COEFF,SCORE,latent,tsquare]=princomp(xz)
怎么得出跟老师不一样的结果，特别是COEFF,SCORE的正负号跟老师的相反，自己找了好久也不知道问题出在哪，希望老师指导指导
这是我得出的结果：
COEFF =
0.3432 0.5033 -0.3194 0.0543 -0.0214 0.4956 -0.2821 0.4453
0.3384 -0.4868 0.4695 -0.4040 -0.2993 0.2240 -0.2415 0.2587
0.3552 0.1969 0.5370 0.5752 0.0944 -0.3926 -0.0617 0.2212
0.3692 0.1087 0.0098 0.1811 -0.5707 0.2377 0.5507 -0.3654
0.3752 -0.0544 -0.1748 0.0641 0.0231 -0.0952 -0.6247 -0.6495
0.3587 -0.2208 -0.5468 -0.1198 -0.1939 -0.5932 0.1220 0.3237
0.3426 -0.4784 -0.1445 0.2392 0.6215 0.3245 0.2900 -0.0039
0.3441 0.4226 0.1966 -0.6281 0.3886 -0.1652 0.2566 -0.1602
SCORE =
5.9541 -2.2206 -0.6302 0.0535 -0.2768 0.4954 0.0254 0.0029
0.3310 -0.8349 0.3058 0.1288 0.2692 0.2001 -0.4443 0.1519
-0.8921 -0.2044 0.3572 0.3364 -0.1222 -0.2976 0.0099 -0.2766
-0.8220 -0.7075 0.1039 -0.5950 -0.4279 -0.3495 -0.0183 0.2298
0.0113 -0.6747 -0.4058 -0.2663 0.3198 -0.2482 -0.1244 0.0763
0.4489 -0.3681 0.2135 -0.8318 0.2707 -0.0305 0.0437 0.0039
-0.1211 -0.6347 -0.2040 -0.4674 0.6194 0.1015 0.1587 -0.0639
-0.2355 -0.7790 0.4845 0.0342 0.4062 -0.3075 -0.1758 0.1391
9.2453 1.3352 0.7021 0.1926 0.2581 -0.0248 0.3672 0.1266
2.4799 0.5381 -0.7778 -0.5663 -0.2222 -0.5196 -0.0033 -0.0678
5.7951 -0.0460 0.0437 0.5483 -0.3326 -0.1968 -0.2891 -0.0397
-1.0915 -0.0491 -0.1109 0.2047 -0.2773 -0.1082 0.1956 0.0096
0.9320 0.8258 -0.0925 -0.3879 -0.3154 0.0804 -0.4661 -0.1257
-1.0371 0.4434 -0.2810 0.1422 -0.0204 0.1035 -0.1332 0.1723
0.5441 -0.2049 -0.1717 0.2255 -0.4399 -0.3153 0.0274 -0.2338
-1.0739 -0.0904 0.5336 0.1930 -0.1157 -0.2352 0.1243 -0.1540
-0.4316 0.6416 -0.1669 -0.4254 -0.0535 0.1054 0.3750 -0.1056
-0.2695 0.6192 -0.3334 -0.0711 0.1764 0.2801 0.2293 0.2124
0.8487 1.6461 -0.0558 -0.1610 0.4704 0.2558 -0.3650 -0.1350
-1.6453 0.6977 -0.1659 0.6685 0.1120 0.0030 -0.0634 0.0401
-1.7885 0.9877 -0.5321 -0.2536 0.0897 -0.1276 -0.1266 0.0017
-1.6983 0.1588 -0.4475 0.2129 -0.3001 0.5312 0.1805 0.0783
-1.3159 0.2938 -0.1624 0.1472 -0.1914 0.5337 0.0827 0.0211
-2.7978 0.2787 -0.0291 0.1843 -0.1399 -0.2213 -0.0658 0.1347
-1.7214 0.2686 0.0315 0.7479 0.0821 -0.0618 0.0143 0.1715
-1.8382 0.3281 1.1465 -0.6199 -0.7407 0.2973 0.0245 0.0874
-1.2390 -0.4712 -0.0291 0.2013 0.2474 -0.4569 0.2437 0.0086
-2.4002 -0.2227 -0.2866 0.2985 -0.0727 -0.1460 0.1399 0.0092
-1.3997 -0.4903 0.1905 0.1381 0.1318 0.4720 -0.0452 -0.3477
-1.1871 -0.3601 0.2715 -0.0509 0.4493 0.0651 0.1722 -0.1887
-1.5848 -0.7041 0.4983 0.0388 0.1463 0.1224 -0.0937 0.0610
latent =
6.8648
0.5750
0.1689
0.1450
0.0989
0.0836
0.0430
0.0209
tsquare =
19.8376
8.8025
6.6026
9.3263
4.6661
6.1059
7.2405
6.9066
23.3117
11.1434
10.5822
2.3514
9.2919
3.0727
6.4251
4.4189
6.1217
6.0080
12.0061
4.7845
4.9318
7.2992
4.6654
3.2690
5.9501
18.1003
5.3942
2.7943
9.7303
5.3731
3.4864