The HPNLMOD procedure is a high-performance procedure that uses either nonlinear least squares or maximum likelihood to fit nonlinear regression models. PROC HPNLMOD enables you to specify the model by using SAS programming statements, which give you greater flexibility in modeling the relationship between the response variable and independent (regressor) variables than do SAS procedures that use a more structured MODEL statement.
PROC HPNLMOD runs in either single-machine mode or distributed mode.
Note: Distributed mode requires SAS High-Performance Statistics.