Is there any package that assists in saving and reconstituting glm and nls fits without bringing along the accompanying data? A quick search on CRAN didn't turn up anything.
If not, how do other people deal with saving the coefficients of model fits? For example, I've run a glm fit that has 23 coefficents on data set that had 193,008 rows, by the time the fit was called. When I save the resulting fit object, I get a 491 MB object, which suggests that it's pulling along all sorts of junk in the environment, as 23*193k*8 is only 34 MB. Even so, I would prefer to only save the coefficients and the Hessian, not the fit data set. Is there anything I can do? If I want to save several fits, 490 MB a shot starts to add up very quickly. If I just save the coefficients, I have to manually hack up an object that I can then run 'predict' on when I want to evaluate the model, and that feels very error-prone. Thanks, Johann ______________________________________________ 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.
