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...)? data = center.fd(fdata1)? #fPCA? fpca = pca.fd(data,nharm=D)? scores = fpca$scores[,1:d.hat](4)?# to avoid warnings from vars predict function below? ? ? colnames(scores) <- as.character(seq(1:d.hat))? ? ? VAR.pre= predict(VAR(scores, p.hat), n.ahead=1, type="const")$fcst after this iIneed help first how i transform this into original Functional data and to obtain the for for each 24 hours (mean one day forecast) and to how to generalize the result for one year. [[alternative HTML version deleted]]