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