Hi, I need your help again. I've been doing an analysis recently and the contents are simple. It's data with 376 rows, 223 columns, and single Y value. To get the Y-value prediction model, I used 'Fit - Models'(Fit Least squares - standard Least squares / Effect Screening), and I first got the R-Square 0.95, using row 1 to 263. I added the Predict formula to the 'New column' and compared the estimates from the remaining 264 to 376 with the actual measurements. As a result, you can see that there is a greater error with new data than below. I wonder what additional work I can do or take advantage of other features. I attached my data, thank you. (FYI, X_1 is just numbering for indexing)
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