One or more regression equations used to capture the relationship between the dependent variable and explanatory variables. The analyst should use a priori analysis to specify a model (or a set of feasible models) and then calibrate the model parameters by minimizing the sum of the squared errors in the calibration data. The parameters can also be estimated by minimizing the least absolute values.