R vs SPSS output for princomp

If you want factor analysis, you should use factanal or more generally, 
MLE, true.  Nonetheless, I have use for PCA as a factor extraction method 
in a couple of situations:

1.  To replicate results from that method
2.  When the covariance matrix is non-positive definite

I have written some code to do this.  See:

http://home.earthlink.net/~bmagill/MyMisc.html

Find the function prinfact and associated methods and functions.  This 
would replicate SPSS results of "factor analysis by principal components".

Another better option might be OLS estimation for the second situation.  I 
haven't the ability to implement this myself.  Maybe a future version of R?

Well, many other packages confuse (hopelessly) PCA and factor analysis,
including SPSS.  They are separate statistical methods with very different
purposes, that for factanal being quite rarely appropriate.  R is not
written to reproduce the mistakes of other packages, but to implement
sound statistical practice.