This command selects the L1-estimator, i.e., the objective function to be minimized is the sum of the weighted absolute residuals.
Minimizing the mean absolute deviation leads to a maximum-likelihood estimate if the errors follow a double exponential distribution.
The L1-estimator should be used, for example, to minimize a cost function for
the optimization of a cleanup operation. Furthermore, it can be used whenever
the objective function of interest is a linear function of the model output
(e.g., in a sensitivity analysis using command
>>> use L1-ESTIMATOR, then draw contours of the
>>> OBJECTIVE function based on : 10 points in the parameter space