MODERN NONLINEAR-REGRESSION METHODS

Several nonparametric nonlinear regression models are discussed and compared. Instead of forcing a predefined analytical form on the data, these methods approximate the underlying nonlinear function using smoothers or splines on the training data set. The performances of these methods are compared in a Monte Carlo simulation study and illustrated on a data set from food chemistry.