easy to implement method to fit a power function (regression)
I have the following simple function: $h = cV^n$
h and V being the variables and $c$ and $n$ are parameters that I want to optimize. I have a series of values for $h$ and $V$. What are the options for guessing the parameters ? I know if the funtion is linear I can use linear least square for a maximum likelihood guess. But in my case it's non linear.
Thanks in advance.