fsdaSAS: A Package for Robust Regression for Very Large Datasets Including the Batch Forward Search
The forward search (FS) is a general method of robust data fitting that moves smoothly from very robust to maximum likelihood estimation.The regression procedures are included in the MATLAB toolbox FSDA.The work on a SAS version of the FS originates from the need for the analysis of large datasets expressed by law enforcement services operating in