When applying scoring models from Predict, you will only need the variables used in the model itself. Even if your original model file contained dozens of variables that did not enter your model, you do not need to include those variables when scoring new records. As an example, if a model predicting height only uses “shoe size”, any record you hope to score will only need “shoe size”. All other characteristics are not needed to produce your score.
