RSREG does not do this. PROC REG has the ability to sequentially add terms. ... View more

You cannot test whether or not two variables are statistically different, but you can test if statistics computed from those variables are different. Are you referring to mean differences, standard deviation differences, or something else? ... View more

One way to drop variables is actually not to include them in the select statement. Instead of SELECT * from ... you could use SELECT T.x1,T.x2,T.x27 from ... ... View more

I don't think PROC CORR was designed to produce t-statistics, as it doesn't do t-tests. Depending on specifically what t-tests you are interested in, you could use PROC MEANS, PROC TTEST and probably a dozen other SAS procedures. ... View more

I assume that "special word" refers to macro variable. If that is correct, macro variables can be deleted via the %SYMDEL statement. ... View more

PROC CORR with the COV option will compute covariances. ... View more

So post your saslogs so we can see what the errors look like. ... View more

ROBUSTREG wasn't designed for this situation. A possible way around this would be to fit the model with the known coefficient, and then compute residuals and do ROBUSTREG on the residuals. I haven't thought this through 100% to convince myself that is reasonable, but it sounds like it would work at first glance. ... View more

We already answered this question for you http://support.sas.com/forums/message.jspa?messageID=34175#34175 ... View more

OUTPUT OUT=tmp N=n1-n38 MEAN=mean1-mean38 STDERR=stderr1-stderr38 LCLM=lclm1-lclm38 UCLM=uclm1-uclm38; ... View more

If they are systematically different by 11.18%, then you have a scaling issue. Somehow, somewhere, in either PROC PLS or PROC SCORE, things are not being scaled properly. I would check the scaling options in both procedures. ... View more

You have to decide what the purpose is of providing such a table. If you want to enable your audience to determine whether or not the LSMEANS are statsitically different, you need to show the standard errors. Alternatively, you could present confidence intervals for the LSMEANS. If you want to enable your audience to have some understanding of the variability of the raw data, you might want to show the standard deviation of the raw data. However, I think a much better idea is to show the standard deviation of the residuals instead of the standard deviation of the raw data. These are not mutually exclusive. Message was edited by: Paige ... View more