Dear list, We have been using STL for seasonal decomposition, and would like to use the trend and seasonal component to forecast n steps ahead. There is no function called predict.stl, and inside an stl object there is no loess model to be predicted either. Our solution is to apply loess or lm using the trend of stl as auto-regressors after which we use predict.lm or predict.loess, and then apply seasonal modifiers to predicted data. Is there a more straight forward way to do this? Some function we are missing? Thank you in advance. Felipe Araujo Researcher in finance and economics Rio de Janeiro, Brasil [[alternative HTML version deleted]]