From: Adaikalavan Ramasamy (ramasamy@stats.ox.ac.uk)
Date: Sat 13 Jul 2002 - 06:07:32 EST
Message-id: <011401c229df$c9883d30$a81401a3@stats.ox.ac.uk>
Just a quick question. I am trying to fit an LDA model with a restricted
subsample. My X is a numerical matrix and Y is vector of factor response.
fit _ lda( Y[1:50] ~ X[1:50, ] )
gives the following error message: variables are collinear in:
lda.default(x, grouping, ...)
I am guessing this is the problem of rank deficiency as I have about 80
variable. [since the lda works with subsample of size 80 and above]
Q1: Is my interpretation of the error message correct ?
Q2: I am using the fit to prediction purposes etc. Is this likely to be
affected. ie how serious is this problem ?
Q3: Is there a good website about sound statistical theory/practical of
overcoming problem of rank deficiency if this is indeed the source of the
error.
Many thanks, Adai.
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