Prof Brian D Ripley
ripley at stats.ox.ac.uk
Mon Dec 6 14:53:35 CET 1999
On Mon, 6 Dec 1999, Peter Ho wrote:
> This is a problem relating to collinearity of data.
You are failing to give credit for lda, which is from library MASS.
> I have tried using lda on a data matrix. Lda computed the predicted classes, but
> gave a warning that variables were collinear.
> Can anyone comment on this? I am not sure how collinearity of data would affect the
> lda analysis.
It assumes that the data are from multivariate normal distributions with a
common covariance matrix. Such data cannot be collinear. Or, in the
extension of Fisher's scheme, there are many linear combinations maximizing
the quotient of variances.
> What would be the correct procedure to tackle this problem?
Remove the collinearity.
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272860 (secr)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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