Proc glm would just output the cook's D in the output dataset. Say cook's D statistic is in a dataset named analysis & it is given by variable cook. The influential variables are the ones with cook's D > 4/n.

proc print data=analysis(where=(cook>4/1001)); *assuming your dataset has 1001 observations;

run;

Once you see the observations with high influence then you investigate them & follow your policy of outliers.

For more discussion on detecting outliers you can see the following thread: http://www.talkstats.com/showthread....iers-using-SAS