ABSTRACT
When data are fitted with a model using a program such as MINSQ [2] or NONLIN [68] measures of fit are needed to assess how good the fit is. These measures indicate the closeness of the observed data points to the model-predicted line and the confidence one should have in the parameter estimates. Some measures of fit are discussed below.
