search for: arimafit

...on prior to or after concerting it into a ts object? the short of the script is (removing plots etc..): ---------- baseU000 <- read.csv("testfile.csv",header=T) #--- hmm what happens in years with a 53rd week... tsbaseU000 <- ts(baseU000,start=2004,frequency=52) #--- add regressors arimafit <- auto.arima(tsU000[,2],approximation=T,stepwise=N) forecastU000 <- forecast(arimafit,52) plot(forecastU000) lines(fitted(arimafit),col=3,lty="dashed") ---------- What I am just trying to do is build the best educated guess on what the cpu usage is going to be for some planning....