Target transform fitting: a new method for the non-linear fitting of multivariate data with separable parameters

Data fitting is an important technique in chemistry. The number of paramete rs to be fitted is a most significant aspect: the larger the number, the mo re difficult the task. A unique combination of target factor analysis with nonlinear data fitting can result in complete or partial separation of the parameters, which can then be fitted independently. Thus, instead of one mu ltiparameter fit, several fits are performed with only one or a few paramet ers. The procedure can also support model development. Applications in kine tics and chromatography are presented. Copyright (C) 2001 John Wiley & Sons , Ltd.