[R] Init nnetTs (or nnet?) with a former Neural Net

[c2r]

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 !!


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