AW: RE: [R] Mass: lda and collinear variables
till.baumgaertel at epost.de
Mon Feb 24 09:54:03 CET 2003
On one dataset I have 220 cases of physical data (the variables represent
points on a curve). The Original data set holds about 1800 variables but
I reduce this to a power of 2 (32, 64, ...) with an approximation method
so that the representation of one curve (one observation) with say 32 points
(variables) does not differ too much from the original representation with
What I was also wondering about: Why does lda tell me about warnings and
>-- Original Nachricht --
>What is the dimension of your data. i.e. how many observations and how
>variables do you have?
>From: Till Baumgaertel [mailto:till.baumgaertel at epost.de]
>Sent: Monday, February 24, 2003 9:41 AM
>To: r-help at stat.math.ethz.ch
>Subject: [R] Mass: lda and collinear variables
>when I use method lda of the MASS package I experience a warning: variables
>are collinear in: lda.default(data[train, ], classes[train])
>Is there an easy way to recover from this issue within the MASS package?
>Or how can I tell how severe this issue is at all?
>I understand that I shouldn't use lda at all with collinear data and should
>use "quadratische" (squared?) discr. analysis (by Welch) instead. Or is
>wrong? Could I do this in R?
>Thanks four your help,
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