search for: forecast1

...is as follows: > Forecast.A <- ts(matrix(NA, nrow=25, ncol = 1, + dimnames = list(c(), c("Outcome"))), + start = c(2006, 10), frequency = 12) > for (i in 1:25) { + j <- i + 321 + Data <- window(omxr, end = time(omxr)[j]) + Result <- ets(Data, model = "MAM") + Forecast1 <- forecast(Result, 1) + Forecast.A[i, 2] <- window(omxr, start = time(omxr)[j + + 1], end = time(omxr)[j + 1])[[1]] + } What am I doing wrong? //Tobias -- View this message in context: http://old.nabble.com/Subscript-out-of-bounds-tp26499901p26499901.html Sent from the R help mailing list...

...les and grins for now newFit5.b <- Arima(modelSource,order=arma5.fit$order,seasonal=list(order=arma5.fit$seasonal),xreg=newmcReg,include.drift=F) #All the drift terms ones are broke as the drift term doesn't match up to the # of columns in fReg #Still don't know how to fix at this time. forecast1.b <-predict(newFit1.b,n.ahead=modLength-modMax,newxreg=mfReg) forecast2.b <-predict(newFit2.b,n.ahead=modLength-modMax,newxreg=newmfReg) forecast3.b <-predict(newFit3.b,n.ahead=modLength-modMax,newxreg=mfReg) forecast4.b <-predict(newFit4.b,n.ahead=modLength-modMax,newxreg=newmfReg) for...