try this: x1 <- rnorm(30) x2 <- rnorm(30) x3 <- rnorm(30) y <- 0.5 + x1 - 2*x2 + 3*x3 + rnorm(30)
fm <- lm(y ~ x1 + x2 + x3) model.frame(fm) I hope it helps. Best, Dimitris Roberts, Kyle wrote:
Dear All, I want to extract the original dataset from a lm output. I know that I can get most of it from model.matrix(lm.out) but I need the dependent variable to be in the first column. Any ideas? Thanks, Kyle Roberts ______________________________________________ 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.
-- Dimitris Rizopoulos Biostatistical Centre School of Public Health Catholic University of Leuven Address: Kapucijnenvoer 35, Leuven, Belgium Tel: +32/(0)16/336899 Fax: +32/(0)16/337015 Web: http://perswww.kuleuven.be/dimitris_rizopoulos/ Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm ______________________________________________ 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.
