if you mean doing PCA and keeping just a few of the components (dimensions) then one way is to use principal
in package psych
. (Using the argument nfactors
)
Question
How to downproject with PCA in R?
When I use princomp function on my data it creates as many principal components as there are dimensions in the original data. But how can I down-project, let's say if I have 10 dimensional data and I want to downproject to 2 dimensions?
Solution
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