Note that SAS will do this automatically in some PROCS via the CLASS statement, otherwise, I find this covers most ways to create dummy variables:   https://communities.sas.com/t5/SAS-Communities-Library/How-to-create-dummy-variables-Categorical-Variables/ta-p/308484   There are a multitude of ways to do this.  ... View more

/* impute missing values * data class; set sashelp.class; if rand('uniform')<0.4 then call missing(sex); if rand('uniform')<0.2 then call missing(height); run; proc mi data=class seed=1305417 nimpute=1 out=outex4; class sex ; fcs nbiter=100 ; var sex age height weight; run; */           /* Pick up variable by PROC PLS * ods output VariableImportancePlot= VariableImportancePlot; proc pls data=class missing=em * nfact=2 plot=(ParmProfiles VIP) * cv=split details cvtest(seed=12345); class sex; model age=weight height sex; * output out=x predicted=p; run; */     ... View more