I have a model where the predictor variables comes in two sets X and Z, where Z simply has one more predictor added to the end of X. What’s the best way to code this? I have tried creating a separate input data set as Z, however, at run time, the model gets confused with the declaration vs found.
RuntimeError: mismatch in dimension declared and found in context; processing stage=data initialization; variable name=z; position=0; dims declared=(6,80,6); dims found=(100,80,6)
The reason for finding 6 instead of 100 is because I use 16 sites in EP. I think EP makes adjustments for X but not for Z?
What’s the best approach to solve for this problem? Should I simply use an over complete data set and trim off the last element before using?