In engineering problems, nonlinear models oftern fit data better than linear models. These models can be defined as having nonlinear dependencies on their parameters. For instance, such an equation typically cannot be transformed into the following form. Like linear least squares, nonlinear regression also determines parameter values that minimize the sum of the squares of the residuals. Howev..
