Nonlinear least squares select one: a. solves the minimization of the sum of squared predictive mistakes through sophisticated mathematical routines, essentially by trial and error methods. b. gives you the same results as maximum likelihood estimation. c. should always be used when you have nonlinear equations. d. is another name for sophisticated least squares.