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I got a dataset (dataset2reg) that with several variables (var1--var10) and group variables, then i do the regression as following:
Regression A:
proc reg data=dataset2reg outest=result1 edf tableout;
eq1: model var0=var1 var2 var3 var4;
eq2: model var0=var5 var6 var7 var8;
eq3: model var0=var9 var10 var11 var12;
by group;
run;
quit;
Regression B:
proc reg data=dataset2reg outest=result1 edf tableout;
model var0=var1 var2 var3 var4;
by group;
run;
quit;
the result of eq1 of Regression A is different from Regression B, what's wrong with my regressions?
Were the number of records used the same? I suspect that with 3 model statements in the first that if any of the variables var5 through var12 are missing then those records with any missing values were excluded for use in eq1.
No need to "SUSPECT" the behavior for missing values is documented.
The answer to the question is the same today as yesterday. https://communities.sas.com/thread/73103
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