>> So you are saying that I cannot force PROC SCORE to omit any variable that is in the original model, right? >I did not say that. For linear models, if you set the data for a variable to zero, then that is equivalent to having a zero estimate, which omits that term. Oh, is that means I have to modify the dataset to be scored, and cannot achive it by adding commands to the PROC SCORE? >I recommend that you use the NOINT option in the model statement. you mean add NOINT in proc logist or in proc score? is there a model statement in proc score? >So you say, but most analysts agree that "if you can't explain it then you shouldn't do it." To make it short, the reason why i do so is to adjust the baseline(intercept) for the new dataset. thank you again!!
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