Hi Doug, I do not want to force a variable in the model. By termination I mean that it is not allowing any other variable (which can be induced as per codes on EG on same dataset). Whenever a variable is removed in a step then it terminates not allowing subsequent variables to participate. The message is " Note: Model building terminates because the last effect entered is removed by the Wald test criterion".  Variable selection node can reduce the counts of variables but this issue is still there for those reduced count of vars.    I am not sure what to change in the "selection options" in model selection settings or anywhere else in EM as none seems to be valid for stepwise. I hope this brings more clarity to you. Let me know!   Thanks, Shailesh   ... View more

Hi Doug! Thanks for your detailed response.  1. When I run forward selection method, it is giving me the result w/o any note for model termination. 2. After doing variable selection which reduced the count of variables from 88 to 27 stepwise runs fine w/o getting terminated.    However, I wanted to see coefficients of all the significant variables as a result of all the 88 input variables to understand their impact on the event through stepwise regression. And while I do it in EG, it works fine till end. So the issue still persists in EM:(   Why? : eg. if var1 would have given me max/min coeff then I would like to keep this var and then try out training model again with other vars getting added to the list . Idea was to have few (5-6) vars starting with var1 to finalize final set.      Thanks, Shailesh ... View more

Hi Wendy, Thanks for the response. However, when I do change selection defaults to "No" , I do not find suitable option which I may alter to keep it going.  Let me know if you are suggesting any specific "selection option" for this.   Thanks< Shailesh ... View more