principal components analysis

[Andrew Warshall <warshall 99main com>]

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Gnumeric 1.10.17 seems to be having trouble doing principal components
analysis. On some (but not all) datasets, it produces a
reasonable-looking (and apparently symmetric) covariance matrix, but
the eigenvalues and eigenvectors are all "#NUM!", which (if I
understand your documentation correctly) means the matrix it was trying
to diagonalize (in this case the covariance matrix) was not in fact
symmetric. What am I missing?

            Thanks,

            Andrew Warshall
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