No doubt this could continue for some while. In my case, the need to
sign off dictates my last comment. The lack of an error model for a PCA
need worry no one any more than the lack of a model for logarithmic
transformation! Sometimes it's helpful; sometimes it is not.
Nick
[email protected]
Verkuilen, Jay
Nick Cox wrote:
>>I'd go a little further. There is no model underlying PCA. It's a
transformation procedure!
Yes, I could see that. It certainly is a very useful pre-whitener or,
conversely, low-pass filter, for multivariate data.
Lack of an error model is, IMO, a big issue.
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