Non Linear, Regression, Data Science, Python, Least Squares.
function of the fitted β and x_i (Image by Author) Replacing µ_i with f(β_cap, x_i) in the earlier equation for RSS, we have: Residual Sum of Squares of the fitted regression model (Image by Author) Once again, β_cap is the vector the fitted coefficients and x_i is the ith row of the regression