Chapter 28 Transforming Data for LLS
The method of previous chapter works only for models in which parameters appear in a linear way, as coefficients to predetermined functions. This is often insufficient: for example, exponential and logistic models contain some parameters nonlinearly. In this chapter we expand the reach of Linear Least Squares method by transforming the variables involved in the problem, or by applying the method to the coefficients of an implicit function.