Yes, you are correct. The model too complicated and I don't have idea which variables interact with the others. After use the code as you provided,I have 86 estimate value included the intercept but the predictors or variables are just 26 only. Btw, Thank you for your advice. Really appreciate that. ... View more

So far I will follow this to track the model. Its maybe take a lot of time because its hard to read the LOGISMOD file (file created from OUTMODEL= option). Thank you for the suggestion.  ... View more

I have try it before, but since I am just use the model that have been created (I really don't know how or who created that but the purpose of the model is just to score my current data) , I just use INMODEL= option to call the model and score my current data. INMODEL= option doesn't allowed me to use CODE statement. I'm stuck on this issue forever.  ... View more

Yes my data have category variables. I am not trying to create a new model, I just want to use existing model to score the data using INMODEL option, but I can't figure out how SAS do it for the calculation at the back end because I want to code the SAS script into SQL to score the data.  ... View more

Hi, Thank you for your reply. I know the function of OUTMODEL option, but how SAS stored all the values to this column and how INMODEL option take all these values to score new data with same model ? I try to calculate manually how to score from INMODEL option but I cant find how SAS do it.  ... View more

Thank you for your reply, I used the existing model to score the data, so Im not use any model statement. Here is my code : proc logistic inmodel=&INMODEL_LAPSE. NOPRINT; SCORE DATA = TAB_COMBINE_XP OUT = TAB_COMBINE_XP_1(rename=(p_1=p_1_lp) /*drop=p_0 F_Target_New I_Target_New I_FLAG_XSELL_ADDON I_FLAG_XSELL_PA*/ )fitstat; run;   so I want to know how sas work from the &INMODEL_LAPSE. model to score the data. ... View more