SVD Only With Matrix of Full Rank?

[mark4flies]

I am testing some code for multiple correspondence analysis, which relies on the SVD for dimension reduction. The example is 5x4 (5 observations on 4 responses) that is essentially two dimensions (last two singular values are essentially 0):

M1 = [ [8 2 2 -6], [5 0 3 -4], [-2 -3 3 1], [2 3 -3 -1], [4 6 -6 -2] ]

The result of SVD( M1 ) is this error (Textbook mode):

"0 as singular value, not implemented Error: Bad Argument Value"

(1) So the SVD() function does not allow less than full rank matrices?

Also, putting M1 on the stack and evaluating SVD results in this error (RPN Mode):

"SVD(NULL) Error: Bad Argument Type"

(2) How is SVD supposed to work in RPN mode then?

Thanks for help. I searched documentation (HP Prime and CAS) and other threads mentioning SVD first but did not see these questions yet.