SAS：如何将所有数据集变量包含到模型中

Question

I am wondering, if SAS can include all the dataset variables into a regression model without typing them all. I used R before, and I want something like:

model <- lm(y ~ ., data = d)

But in SAS. Thanks in advance!

Answer 1

As far as I know, SAS doesn't have an simple way to do this.

You could put all of your independent variables into a macro variable then reference the macro variable in your model statement:

proc sql;
select name into :ivars separated by ' '
from dictionary.columns
where libname eq 'WORK'      /*library name        */
  and memname eq 'YOURDATA'  /*data set name       */
  and name    ne 'DEPVAR'    /*exlude dep variable */ ;
quit;

proc reg;
  model DEPVAR = &ivars;
run;

Answer 2

Here is one more way, but i have not tried it.

proc reg data=d;
model y = _all_;
run;

Since regression model by default can be built using only numeric variables you can use this.

proc reg data=d;
model y = _num_;
run;

If you have character variable, convert them to Weight of Evidence transformed variable so that they will be converted to numeric and then you can use the above code.