The OR Toolkit provides the following forecasting models:

  • MLR - for constructing multiple linear regression models for a dependent variable from observations of independent variables
  • SMOOTHIE - for developing a series of models for forecasting values of time-series data. Methods include: moving average, trend, mean, exponential smoothing (single and double), and full decomposition
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