Statistical forecasting for univariate time series modelling in R.
This is horizontal time series data set. Each row contains unique Sales Product-Market combinations. There are 19 such rows. Each time series has 36 time steps.
ETS, AR, THETA, STLf, TBATS, KNN and their ensembles. We choose the best algorithm based on MAPE and use its forecast for each Market-Sale Product combination.