Hello,   For running several different regressions in SAS, I know I can do this:   proc reg data=have outest=want noprint edf tableout; model a = x y z; model b = x y z; run; However, now I come across a situation when my variables (e.g. "a" & "b") are filled with missing values. For each missing a value, SAS would omit the observation for all models, even if b value is not missing in that observation. This causes SAS to provide different coefficients than it would if I were to run each model separately (like this: ) proc reg data=have outest=want noprint edf tableout; model a = x y z; run; proc reg data=have outest=want noprint edf tableout; model b = x y z; run; Is there a way for me to not have to do that? i.e. Is there some syntax I can add to this proc reg so SAS would treat each of my models separately?   Thank you very much. ... View more

Hello,   I am a new SAS user, and this is my first time posting a question. I did try to look for existing answers but I have not seen a similar question being asked. So maybe it's either not feasible or laughably simple. So please bare with me.   I have a table with a date variable, a "RF" (stands for "risk free") variable, and 20+ variables with these names: small_lobm, me1_bm2, ,me1_bm3, me1_bm4, small_hibm,  me2_bm1, me2_bm2, ,me2_bm3, me2_bm4, me2_bm5, me3_bm1, me3_bm2, ,me3_bm3, me3_bm4, me3_bm5, me4_bm1, me4_bm2, ,me4_bm3, me4_bm4, me4_bm5, big_lobm, me5_bm2, ,me5_bm3, me5_bm4, big_hibm   (I break them into 5 lines just for the ease of reading so you can see how the names were constructed). So what I am trying to do is, for each of these 20+ variables, create a new column that is equal to variable - RF. Something like this:   Data want; set have; small_lobmx = small_lobm - RF; run;   I try to see if it's possible to not have to do that same thing 20+ times for each of them. And I don't need to keep the old 20+ ones afterward. I'm using AS 9.4. Please help and thank you very much! ... View more