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Jul 14, 2018 at 8:05 comment added Nick Cox It's partly a matter of taste, but mine is that once you allow correlations between your predictors you're better off with a subset of your original predictors.
Jul 14, 2018 at 8:03 comment added Onur Tekel Thak you for your reply. I wanted to rotate, because the initial solution I got from the PCA had a group of cross-loadings. By applying rotation, my aim was to minimize (and totally eliminate, if I was lucky) the cross-loadings.
Jul 9, 2018 at 13:18 comment added Nick Cox Principal component analysis produces uncorrelated components. Why rotate at all if that is what you want?
Jul 9, 2018 at 13:18 history edited Nick Cox CC BY-SA 4.0
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Jul 9, 2018 at 13:15 answer added ERT timeline score: 0
Jul 8, 2018 at 20:14 review First posts
Jul 8, 2018 at 20:31
Jul 8, 2018 at 20:10 history asked Onur Tekel CC BY-SA 4.0