Hi all, first of all, I'm not an expert on R, I'm still learning, so sorry if this is a stupid question... I have a large dataset that is to big for my computer memory, and I found quite useful the package biglm. Now everything is working perfectly. But if I want the residuals, how I can do it? Let's say that we are running the example: > data(trees)> ff<-log(Volume)~log(Girth)+log(Height)> > chunk1<-trees[1:10,]> > chunk2<-trees[11:20,]> chunk3<-trees[21:31,]> > a <- biglm(ff,chunk1)> a <- > update(a,chunk2)> a <- update(a,chunk3)> > summary(a)Large data regression > model: biglm(ff, chunk1)Sample size = 31 Coef (95% CI) > SE p(Intercept) -6.632 -8.231 -5.032 0.800 0log(Girth) 1.983 1.833 2.133 > 0.075 0log(Height) 1.117 0.708 1.526 0.204 0 Now, how I can obtain the residuals ? Thanks in advance, Giulio _________________________________________________________________
[[alternative HTML version deleted]] ______________________________________________ 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.