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  3. Forecasting Product Demand in R

Exercise

ARIMA Forecasting

Before we build an ensemble model we need an actual time series forecast of the demand itself so we can average the forecasts. The training data object MET_hi is saved in your workspace as well as the validation data MET_hi_v.

Instructions 1/2

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  • Build an ARIMA model for MET_hi using the auto.arima function.
  • Forecast this model for the length of the validation data set.