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.

				data ex21_1;
				  input x1-x4 y1-y4;
				cards;
				1210    120.1    23.8    61.0    10.2    66.3    2.01    2.73
				1210    120.7    23.4    59.8    11.3    67.6    1.92    2.71
				1040    121.2    22.9    59.0    10.1    66.5    1.92    2.60
				1620    121.5    24.6    59.5     9.5    67.8    1.95    2.64
				1690    122.5    24.4    60.7    11.0    69.2    2.08    2.64
				1150    122.7    27.2    64.5    10.5    69.1    2.19    2.84
				1150    123.2    20.0    56.1    10.4    59.3    1.83    2.61
				1460    123.3    24.9    58.4    10.5    69.0    2.01    2.72
				1190    123.4    21.8    59.0    10.6    67.4    1.90    2.71
				1840    123.9    23.5    60.2     9.6    67.1    2.00    2.84
				1250    124.5    25.2    63.0    11.2    67.8    2.05    2.78
				1480    124.8    22.3    58.1    10.7    67.9    2.05    2.73
				1310    124.9    22.0    58.0    10.5    67.8    1.98    2.68
				1660    125.3    24.7    60.0    10.8    69.3    1.95    2.80
				1580    125.6    22.8    59.0     9.4    69.1    2.00    2.65
				1460    125.8    25.7    61.0    10.2    69.6    1.95    2.70
				1240    126.0    30.2    68.0     9.2    67.1    2.14    2.88
				1100    126.2    25.2    60.5     9.8    68.4    1.98    2.72
				1250    126.8    23.6    58.5    10.2    67.5    1.94    2.74
				1270    127.1    23.0    57.7    10.8    69.8    1.90    2.78
				1300    127.6    24.3    59.0    10.3    67.9    1.93    2.84
				1350    127.7    24.1    60.0    11.0    69.7    2.03    2.77
				1250    128.3    21.6    55.5    10.4    68.5    1.83    2.70
				1720    128.5    27.1    62.0    11.4    71.2    2.03    2.75
				1480    128.5    22.6    57.4    10.0    67.3    2.04    2.83
				1380    129.4    24.9    60.5    11.5    69.8    2.04    2.76
				1170    129.0    26.7    63.7     9.6    67.4    2.13    2.98
				1640    129.8    26.1    62.0     9.8    71.0    2.00    2.84
				1640    131.6    28.7    62.8     9.7    70.7    1.89    2.89
				1150    130.2    25.0    58.6    10.5    71.8    1.96    2.78
				1430    130.5    26.1    60.7    10.8    68.6    2.05    2.77
				1150    130.6    23.4    54.4    11.8    69.2    1.96    2.78
				1150    131.4    25.5    63.2    10.2    70.4    2.05    2.84
				1320    131.6    25.6    58.9    10.9    70.2    2.06    2.86
				1360    131.7    27.4    62.0    10.9    73.5    1.99    2.70
				1460    132.0    26.3    61.5    11.1    71.2    2.17    2.13
				1380    132.2    25.7    61.4    10.1    70.1    1.96    2.83
				1300    132.5    24.5    57.0    10.8    71.8    2.02    2.84
				1220    132.7    27.0    61.3    10.1    72.2    2.08    2.80
				1320    132.9    25.2    60.5    11.2    73.1    2.01    2.73
				1910    133.1    30.1    67.0     9.0    87.1    2.15    2.97
				1800    133.5    26.5    62.5     9.8    71.7    2.07    2.82
				1560    133.6    24.8    58.5    10.3    72.2    1.93    2.79
				1840    134.0    26.0    60.5    10.4    73.0    1.98    2.74
				1470    134.3    28.2    62.0    11.3    87.2    2.66    4.03
				1590    134.4    25.5    60.7     9.6    69.9    1.99    2.81
				1430    134.1    26.6    63.0    11.2    72.2    2.06    2.90
				1760    134.6    32.5    66.0     9.9    87.4    2.61    2.98
				1470    135.3    27.9    61.8    10.1    73.3    2.20    2.78
				1580    135.6    28.1    65.8     9.8    73.1    2.05    2.89
				1580    136.5    28.2    62.0    11.8    72.9    2.17    2.92
				1840    137.1    27.6    62.8     9.5    72.4    2.11    2.91
				1810    137.4    28.3    62.5     9.4    74.2    2.06    3.00
				1850    138.1    29.5    62.4     9.7    72.3    2.12    4.02
				2120    140.0    34.9    68.8     9.5    87.9    2.74    4.15
				1760    140.7    32.0    64.4    10.2    74.0    2.17    4.05
				1800    141.0    32.5    63.8     9.5    88.2    2.65    4.08
				1260    141.7    29.1    65.0     9.7    88.2    2.68    2.90
				1860    142.4    19.3    70.0    10.1    89.6    2.71    4.06
				1800    144.7    27.0    58.3    10.8    74.8    2.10    2.82
				1470    136.8    26.3    61.4    10.0    72.2    2.07    2.93
				1260    121.1    22.9    59.0    10.6    66.3    2.05    2.76
				1570    132.7    25.3    58.6    11.5    73.6    2.16    2.78
				1290    125.0    25.7    60.5    10.1    68.8    2.00    2.69
				1580    133.2    27.3    60.7     9.6    71.7    2.11    2.85
				1690    132.8    28.6    64.7     9.6    72.9    2.19    4.08
				1670    131.6    25.4    59.7    10.6    69.8    2.14    2.76
				1300    133.1    25.9    58.0    10.1    69.7    2.12    2.83
				1610    134.0    25.8    59.6     9.4    70.8    2.10    2.88
				1580    134.3    26.3    61.2    10.2    72.2    2.14    2.84
				1570    129.1    27.7    62.2    11.1    72.9    2.09    2.93
				1660    140.1    32.1    67.0     9.3    87.1    2.15    4.03
				1040    132.6    27.9    62.0    10.3    72.5    2.08    2.81
				1290    128.3    23.6    58.5     9.3    69.0    1.97    2.76
				1980    145.8    34.5    68.0     9.8    89.7    2.68    4.25
				1210    133.3    25.6    61.5     9.9    71.0    2.11    2.82
				1300    134.3    25.6    61.0    10.5    73.2    2.02    2.83
				1310    138.1    27.8    61.2     9.9    73.5    2.09    2.78
				1590    135.6    25.9    59.6     9.6    72.8    2.10    2.91
				1270    128.3    24.1    58.5    10.3    69.2    1.92    2.77
				1310    129.7    24.7    61.7    10.1    69.4    2.03    2.80
				2280    143.6    37.6    70.0     9.7    88.8    2.17    4.18
				1580    136.6    32.3    67.2    10.3    87.1    2.66    4.04
				2370    147.4    38.8    73.0    10.8    90.7    2.82    4.38
				;
				proc cancorr;
				  var x1-x4;
				  with y1-y4;
				run;