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 Baumg?rtel ________________________________________ Abos online bestellen. Oder Leser werben und Pr?mie aussuchen. epost.de/aboservice
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 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 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 Baumg?rtel ________________________________________ Abos online bestellen. Oder Leser werben und Pr?mie aussuchen. epost.de/aboservice ______________________________________________ R-help at stat.math.ethz.ch mailing list stat.math.ethz.ch/mailman/listinfo/r-help