Regression methods fit a model to the historical **data** which is used to predict the baseline [13] [14]. They can potentially overcome biases incurred by averaging methods [12]. They often require considerable historical **data** for acceptable accuracy, and the models may be too simple to capture the complex behavior of individual agents.