The decentralized response is forecasted by multiplying the estimated regression coefficient with the new decentralized predictor
Usage
forecastfplsr(object, components = 2, h = 20)
Arguments
Value
A fts class object, containing forecasts of responses.
References
R. J. Hyndman and H. L. Shang (2009) "Forecasting functional time series" (with discussion), Journal of the Korean Statistical Society, 38(3), 199-221.