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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 interest...

Dear R users and experts, I am using the package 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 interest...