From: Adaikalavan Ramasamy (gisar@nus.edu.sg)
Date: Mon 24 Feb 2003 - 16:35:14 EST
Message-id: <024D6AEFCB92CB47BA1085751D184BB801053F28@MBXSRV03.stf.nus.edu.sg>
What is the dimension of your data. i.e. how many observations and how many variables do you have?
-----Original Message-----
From: Till Baumgaertel [mailto:till.baumgaertel@epost.de]
Sent: Monday, February 24, 2003 9:41 AM
To: r-help@stat.math.ethz.ch
Subject: [R] Mass: lda and collinear variables
hello list,
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 this wrong? Could I do this in R?
Thanks four your help,
Till Baumgärtel
________________________________________
Abos online bestellen. Oder Leser werben und Prämie aussuchen. http://www.epost.de/aboservice
______________________________________________
R-help@stat.math.ethz.ch mailing list http://www.stat.math.ethz.ch/mailman/listinfo/r-help
______________________________________________
R-help@stat.math.ethz.ch mailing list
http://www.stat.math.ethz.ch/mailman/listinfo/r-help
This archive was generated by hypermail 2.1.3 : Tue 01 Jul 2003 - 09:11:23 EST