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Automatic computation of smoothing parameter can be done with rolling origin or fixed origin (less accurate, but faster).
Lags can be selected using forward selection or backward elimination (feature selection techniques)
Time series cannot be scaled
The model is built using faster Rcpp code
An optional transformation to the training samples has been added. It improves forecast accuracy for time series with a trend
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