Hello all,

I'm dealing with geochemical analyses of some rocks.

If I use the full composition (31 elements or variables), I can get
reasonable separation of my 6 sources.  Then when I go onto do LDA with the
6 groups, I get excellent separation.

I feel like I should be reducing the variables to thos that are providing
the most discrimination between the groups as this is important information
for me.  I struggle to interpret the PCA plot in a way that helps me (due to
the large number of elements).  So I'm trying to do some sort of step-wise
variable selection.

I would love to hear from someone (possibly a geochemist or similar) who
does this regularly to determine the best course of action in R to do this.


Thanks very much


-- 
Gareth Campbell
PhD Candidate
The University of Auckland

P +649 815 3670
M +6421 256 3511
E gareth.campbell@esr.cri.nz
gcam032@gmail.com

	[[alternative HTML version deleted]]

