Dear R users and experts,

I am using Homals to perform categorical PCA on some survey data. The
documentation is a bit obscure, however, I followed the examples.

X is a matrix with  ordinal 1-5 Likert scale entries on 24 questions from
about 2500 respondents.

So I run

X.nlpc = homals(X, rank = 1, level = "ordinal", ndim = 10)

to get the first 10 pc's (the number of dimensions is irrelevant to my
problem).

I happen to get eigenvalues in nondecreasing order and I am not sure how to
interpret this. Can someone help me?

By the way, I would also be interested in knowing if someone has ever
compared the homals solutions with the ones from the categorical
quantizations performed with the Aspect package.

 And, yes, I wrote to package maintainer but I didn't get an answer.

Thanks in advance. Marco


-- 
"Anyone who lives within their means suffers from a lack of imagination."

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