Dear all, I am trying to estimate the prediction from a fixed effects model and their confidence intervals as well. Though I do not want to include in the prediction and at the confidence intervals the intercept. For that reason I used the argument incl.non.slopes=FALSE. But either if it is TRUE or FALSE it does not have any difference and also the system does not provide any warning. I really cannot understand what is happening and I use both predict and predict.lm but there is no difference.
Explicitly the code is: fe.nox <- lm(nox~ state.1 + state.2 + state.3 + state.4 + state.5 + state.6 + state.7 + state.8 + state.9 + time.1 + time.2 + time.3 + time.4 + time.5 + time.6 + time.7 + pcinc + I(pcinc^2) + I(pcinc^3), data=ekc) p.fe.nox<-predict.lm(fe.nox, new, interval = "prediction", level=0.95, incl.non.slopes=FALSE) Any Help would be highly appreciated Thanks Dimitris -- View this message in context: http://www.nabble.com/incl.non.slopes%3DFALSE-does-not-work-at-predict.lm-tp22046749p22046749.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
