According to the glm documentation, an optional dataframe can be supplied in data=. It would be nice if any object that can be coerced to a dataframe (as.data.frame) were accepted. I am thinking of my data objects. As it stands, I have to use data=as.data.frame(object) in glm. As far as I can see, the only change required is to add a line in models.R. After l.216: if(missing(data)) data <- sys.frame(sys.parent()) add else if(!is.data.frame(data)&&!is.environment(data)) data <- as.data.frame(data) I don't think this should have adverse effects elsewhere and would make life easier for the users of my libraries. Thanks. Jim -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-devel mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-devel-request@stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._