Supress the effect of outliers when fitting the model and in predictions
I assume that studentized residual is a good way to identify the ouliers.( Please correct me if i am wrong). And my question is how to filter out the the effect of these outliers in JMP prediction model? Will the model automatical avoid these outliers or should we delete them to get more accurate prediction ?