Linear regression analysis

lConsider a nonlinear regression model 1",: = flIXgl' + 5,, where f is a nonlinear function of \"r. Show how the least squares estimator {LEE} of "f can be obtained using the Gauss Newton method. Denote the starting value of T by '1'\" and show [and justify} all steps that lead to representation of the nonlinear model in terrus of a linear regression model. Explain clearly for that linear model, 1What are the [new] response variable, predictor variables, and parameters, and how LSE of 1 can be obtained from it