Dear all,
I am stumped at what should be a painfully easy task: predicting from an lm
object. A toy example would be this:
XX <- matrix(runif(8),ncol=2)
yy <- runif(4)
model <- lm(yy~XX)
XX.pred <- data.frame(matrix(runif(6),ncol=2))
colnames(XX.pred) <- c("XX1","XX2")
predict(model,newdata=XX.pred)
I would have expected the last line to give me the predictions from the model
based on the new data given in XX.pred... but all I get are in-sample fits
along with a warning "'newdata' had 3 rows but variable(s) found have 4 rows".
Why would predict.lm worry about the number of rows in the model matrix?
Unfortunately, ?predict.lm does not seem to be helpful, and neither RSiteSearch
nor rseek.org have been useful. I'm sure that I am making an elementary error
somewhere (am I misunderstanding the lm(yy~XX) part?) and would appreciate a
gentle nudge in the right direction.
Thank you,
Stephan
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