Hi,

I have tried the (MASS) LDA example (Iris) that's given on the help pages but I don't fully understand the results. Perhaps someone could be so kind to explain it to me.

On the help pages it says as return values:

prior
means
scaling
svd
N
call

What I get as results are

prior
means
coefficients of linear discriminants
proportion of trace

OK, so the first 3 appear to be the same in both cases (perhaps just a different wording) and I know I can show the other return values by something like z$call. No problem.

But what is the proportion of trace?

Is there a simple way to get the discriminant score or do I have to manually multiply the coefficients with the data?

Cheers
Roland

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