Haj

i try to perform a principal component analysis by using a tetrachoric
correlation matrix as data input

tetra <- tetrachoric (image_na, correct=TRUE)
t_matrix <- tetra$rho
pca.tetra <- principal(t_matrix, nfactors = 10, n.obs = nrow(image_na),
rotate="varimax", scores=TRUE)

the problem i have is to compute the individual factor scores from the pca.
the code runs perfect if i do not ask for the scores

if i ask for the scores i get an error message
"Error in scale(x.matrix): object 'x.matrix' not found"

can somebody help me?

cheers
wolfgang

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