求助SAS的REG，SORT异常的处理

王笑权

从几天前我的SAS9.0出现了一个问题，就是一遇到reg或sort便不执行，以前的此类程序都不能用了。而其他功能正常。我重新安装两次仍然如此。请高手指点问题在哪？怎样解决，谢谢！

例如

data s24;

input x y@@;

cards;

820 165 780 158 720 130 867 180 690 134

787 167 934 186 679 145 639 120 820 158

;

proc reg;

model y=x/cli clm;

run;

log窗口

1

2 data s24;

3 input x y@@;

4 cards;

NOTE: SAS went to a new line when INPUT statement reached past the end of a line.

NOTE: The data set WORK.S24 has 10 observations and 2 variables.

NOTE: DATA statement used (Total process time):

real time 0.01 seconds

cpu time 0.01 seconds

7 ;

8 proc reg;

9 model y=x/cli clm;

10 run;

ERROR: _

Zihuatanejo

我的sas上可以正常运行

可能需要重新装一下sas吧

王笑权

终于解决问题了，我用

do 删除+安装 = 1 to 4

终于ok啦

同时谢谢楼上那位的提醒

天开

我现在出现这个问题了。能说下这个具体怎么解决么？

王笑权

[quote]引用第3楼天开于2009-05-23 10:53发表的 :

我现在出现这个问题了。能说下这个具体怎么解决么？

[/quote]

系彻底删除+重装而已。

xjuchenwei

The SAS System         23:04 Saturday, June 3, 2009   2

                                       The REG Procedure

                                         Model: MODEL1

                                     Dependent Variable: y

                                       Output Statistics

             Dep Var Predicted    Std Error

       Obs         y     Value Mean Predict     95% CL Mean        95% CL Predict    Residual

         1  165.0000  164.5959       2.8230  158.0859  171.1059  145.2948  183.8970    0.4041

         2  158.0000  155.7201       2.4984  149.9587  161.4815  136.6585  174.7818    2.2799

         3  130.0000  142.4065       2.9255  135.6603  149.1527  123.0244  161.7885  -12.4065

         4  180.0000  175.0249       3.6529  166.6013  183.4486  154.9972  195.0527    4.9751

         5  134.0000  135.7496       3.4533  127.7864  143.7129  115.9111  155.5881   -1.7496

         6  167.0000  157.2734       2.5210  151.4599  163.0868  138.1959  176.3508    9.7266

         7  186.0000  189.8919       5.2204  177.8536  201.9301  168.0957  211.6880   -3.8919

         8  145.0000  133.3088       3.6781  124.8271  141.7905  113.2566  153.3610   11.6912

         9  120.0000  124.4330       4.5855  113.8587  135.0073  103.4100  145.4561   -4.4330

        10  158.0000  164.5959       2.8230  158.0859  171.1059  145.2948  183.8970   -6.5959

                          Sum of Residuals                           0

                          Sum of Squared Residuals           496.68937

                          Predicted Residual SS (PRESS)      749.74887

这是我做的楼主的分析结果。

xjuchenwei

补充; The SAS System         23:04 Saturday, June 3, 2009   1

                                       The REG Procedure

                                         Model: MODEL1

                                     Dependent Variable: y

                                      Analysis of Variance

                                             Sum of           Mean

         Source                   DF        Squares         Square    F Value    Pr > F

         Model                     1     3737.41063     3737.41063      60.20    <.0001

         Error                     8      496.68937       62.08617

         Corrected Total           9     4234.10000

                      Root MSE              7.87948    R-Square     0.8827

                      Dependent Mean      154.30000    Adj R-Sq     0.8680

                      Coeff Var             5.10660

                                      Parameter Estimates

                                   Parameter       Standard

              Variable     DF       Estimate          Error    t Value    Pr > |t|

              Intercept     1      -17.35746       22.26443      -0.78      0.4581

              x             1        0.22189        0.02860       7.76      <.0001