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how to do a principle component analysis with geo-referenced points

I wish I could do that, but the documentation seems to lack this level of
detail:
[...]
     ?prcomp? returns a list with class ?"prcomp"? containing the
     following components:
     [...]
       x: if ?retx? is true the value of the rotated data (the centred
          (and scaled if requested) data multiplied by the ?rotation?
          matrix) is returned.  Hence, ?cov(x)? is the diagonal matrix
          ?diag(sdev^2)?.  For the formula method, ?napredict()? is
          applied to handle the treatment of values omitted by the
          ?na.action?.
     [...]

Here it seems to describe the x scores but not their dimnames.  ..?
Cheers,
Piero