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di30
2005 Jul 05
4
Discriminant Function Analysis
...I want to visualise that and
create a classification function. Please note at this stage it is a
proof of concept problem - I realise that I must follow this up with a
much more robust anaylsis involving cross-validation.
1) First problem, I got this error message:
> z <- lda(C0GRP_NA ~ ., dpi30)
Warning message:
variables are collinear in: lda.default(x, grouping, ...)
I guess this is not a good thing, however, I *did* get a result and it
discriminated perfectly between my groups. Can anyone explain what this
means? Does it invalidate my results?
2) My analysis came up with one disc...