Hello, I am learning how to use the new R-integration features for actual productive work. Up front I must say this is a great feature! Some weeks ago I have already played with producing graphics using R from gretl, and now I am leveraging the spectral density functions in R (like spec.pgram; BTW, in the longer term it would be nice to have some spectral analysis functions in a time-series package like gretl, but that's a different issue and it's precisely the nice R integration which makes it less urgent). Now, in the "Gretl and R" chapter in the user guide it says that for time-series datasets you must do something like lg <- gretldata[,"lg"] to actually get named series in the R environment. This looks like a very easy and useful thing to automate, so I'm wondering, why doesn't gretl do something like that automatically? To put it differently, if for example the gretl time-series dataset has variables named "var1" through "var5", the automatically executed commands should be: gretldata <- read.table("/home/jack/.gretl/Rdata.tmp", header=TRUE) gretldata <- ts(gretldata, start=c(1949, 1), frequency = 12) # up to here is what gretl does already # now the proposed stuff: var1 <- gretldata[,"var1"] var2 <- gretldata[,"var2"] var3 <- gretldata[,"var3"] var4 <- gretldata[,"var4"] var5 <- gretldata[,"var5"] Looks straightforward to me, but maybe I'm missing something? thanks, sven