I am amazing about mathnet，and it helps me a lot.

Now I am wondering how to do fitting for this y = A+Bx^c. I have known the Power Fit and looked Linearizing non-linear models by transformation topics but I still have no solution.

# Data fitting Questing （A+Bx^c)

**lonely917**(Lonely917) #1

**PVanderwaart**(Peter Vanderwaart) #2

There a couple of approaches to this problem in previous questions. Look for **How to find the parameters of Herschel-Bulkley model through Nonlinear Regression!**, and for my post **Exponential Fit**. The solutions are obtain by a nested or two-step process.

**lonely917**(Lonely917) #3

I used power fit to fit y = a*x^b，I see it deal this by transforming it to a linear fit model, but the result shows above. I was wondering whether it is fitting enough? Maybe non-linear fit（eg. Gauss-Newton Method） will get better result? the red line for the original data, the blue line for the fitting line