Hello,
I've been working with categorical, binary data and have been using a
combination of both FactoMiner and missMDA to impute the binary data set. I
have had success imputing the data set and I am now working with a
complete set. Now, I wish to reduce the dimensionality of the data and do
so using a method similar to logistic or binary PCA.
I've been trying to use MCA to accomplish this, but am unsure how to use
the information I am getting from this analysis to create my structured
components as in PCA.
Any help would be much appreciated.
Thanks,
Chris
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