The PCA pack is more of a proof of concept that a full-fledge implementation. No time was spent on optimisation. And it accepts only six variables for now. So far, I haven’t found a way in Coda to specify the variables (columns) other than by hand, one by one.
The sync tables providing the analysis do not share datasets. So if you use both the Principal Component table and the Loadings table on the same dataset, you effectively computing the PCs twice.
All variables are normalised (so that μ=0 and σ=1) before extracting the eigenvalues. So there is no issue with the variable scales, and all output is centred on (0, 0).
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Implementation Notes