nls C = alpha + beta * Y^gamma
nls y = alpha + beta * x1 + (1/beta) * x2
Also, it says that if the nonlinear function is a generalization of a linear model, running the ols and passing it's coefficient estimates in as the intial parameters would be more accurate. How do I know if the nonlinear function is a generalization of a linear model?
I don't really understand how to use the nls, and the documentation makes some assumptions on the user's level of knowledge.
Any help would be greatly appreciated.
Thanks,
Ryan