SAS应用_医学统计学的例题程序及其结果,学习SAS的必备资料.

源代码在线查看: 例20-01计算结果.lst

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				                                       The SAS System         09:34 Monday, April 1, 2002  85
				
				                                Principal Component Analysis
				
				      20 Observations
				       4 Variables
				
				
				                                      Simple Statistics
				
				                            X1                X2                X3                X4
				
				        Mean       138.0000000       2.325000000       15.00000000       35.50000000
				        StD         88.8878655       1.054751155        7.41974606       21.87885304
				
				
				                                     Correlation Matrix
				
				                                 X1          X2          X3          X4
				
				                     X1      1.0000      0.6950      0.2195      0.0249
				                     X2      0.6950      1.0000      -.1480      0.1351
				                     X3      0.2195      -.1480      1.0000      0.0713
				                     X4      0.0249      0.1351      0.0713      1.0000
				
				
				                            Eigenvalues of the Correlation Matrix
				
				                       Eigenvalue      Difference      Proportion      Cumulative
				
				            PRIN1         1.71825        0.624716        0.429563         0.42956
				            PRIN2         1.09354        0.112189        0.273384         0.70295
				            PRIN3         0.98135        0.774481        0.245337         0.94828
				            PRIN4         0.20687         .              0.051716         1.00000
				
				
				                                        Eigenvectors
				
				                            PRIN1         PRIN2         PRIN3         PRIN4
				
				                 X1      0.699964      0.095010      -.240049      -.665883
				                 X2      0.689798      -.283647      0.058463      0.663555
				                 X3      0.087939      0.904159      -.270314      0.318895
				                 X4      0.162777      0.304983      0.930532      -.120830
							

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