I am new to R and use nnetTs - calls. If a time series of let's say 80000 Datapoints and did call nnetTs I want make a new net for the old ponts plus the next 1000 points (81000 datapoints total) what would again cost much calculation time. So I want to pre-init the new net with the former wonnen net to reduce the necessary iteration numbers. Is thee a possibility to do that and how? i.e.: x=ts(scan("C:/mydata1.csv")) mod.nnet<-nnetTs(x,m=2,size=8) x=ts(scan("C:/mydata2.csv")) mod.nnetnew<-nnetTs(x,m=2,size=8,control=list(init=mod.nnet)) ??? Thanks for any help !! -- View this message in context: http://r.789695.n4.nabble.com/Init-nnetTs-or-nnet-with-a-former-Neural-Net-tp3514825p3514825.html Sent from the R help mailing list archive at Nabble.com.