I have a dataset in which I have many predictors, and I want to do second order factorials of them all (i.e., all possible interactions). Normally, if I use "Fit model," I simply select all predictors, set the factorial to 2, then select "factorial to degree." However, for other platforms, this factorial/interaction feature isn't supported. Therefore, I need to combine 14 columns, i.e. 14^2 = almost 200 new columns to be created. Now, I could use the "combine columns" feature under the "Cols" menu 200 times, but I suspect there may be a way to do this in a much simpler manner (and maybe even without the need for JSL).
I tried simply copying the second order factorials from the "Construct model effects" box of Fit Model and pasting it into the neural platform, but that doesn't work. I'm starting to think the issue is simply that certain (if not all) predictive modeling platforms do NOT accept interaction effects. This is why I'm thinking I'll need to manually make interaction columns instead. Any ideas?
