# Fitting code using nonlinear least square: nlc <- nls.control(maxiter = 1000) fitmodel <- nls(y ~ ftanh(x, x0, a, b, k), control=nlc, start=list(x0 = 7, a = -29500, b = 17500, k = -0.032))
