As of R 1.7.0, princomp no longer accept matrices with more coloumns than rows. I'm curious: Why was this decision made?
I work a lot with data where more coloumns than rows is more of a rule than an exception (for instance spectroscopic data). To me, princomp have two advantages above prcomp: 1) It has a predict method, and 2) it has a biplot method. A biplot method shouldn't be too difficult to implement (I believe I've seen one on R-help). A predict method seems to be more difficult, because the prcomp object doesn't include the means that need to be subtracted from the new data. Would it break conformance with S to let prcomp return the means as well? -- Sincerely, Bjørn-Helge Mevik ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
