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I have done between group pca in R. I want to make an interpolated map using the eigen values of the first three pc axes.

I want to produce a map using each of the three pc axes and finally combine the three maps to produce a final interpolated map.

Any idea would be really appreciated. Tnx!

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This is too general a question to give much useful advice. See perhaps the guerry r package and associated vignette for some examples. Also see this answer by whuber to a different question (that gives extension r tutorials of PCA - albeit geographically weighted PCA). –  Andy W Jan 14 '13 at 18:20
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Most of this sounds routine when you break it into its component steps: your PCA produces an ordered triple of eigenvalues at a discrete set of sample points. You will interpolate them (separately or with a vector procedure such as cokriging) onto three grids. What is unclear is how you propose to "combine" those three grids. Could you perhaps indicate the purpose of this exercise? –  whuber Jan 14 '13 at 19:01
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I think that what you are looking for is the adegenet-spca package, that lets you interpolate principal components:

http://adegenet.r-forge.r-project.org/files/adegenet-spca.pdf

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