NLREG -- Nonlinear Regression Program 6.6

NLREG — Nonlinear Regression Program is a specialized curve-fitting and model estimation tool developed by Phillip H. Sherrod. It fits user-defined nonlinear equations to empirical data using nonlinear least squares. You specify a model in standard algebraic form and identify the parameters to be estimated; NLREG then computes parameter values that best match your data. The program provides essential diagnostics—such as parameter standard errors, confidence intervals, residuals, and goodness-of-fit measures—to help you evaluate model performance and compare alternatives. Designed for scientists, engineers, and analysts, NLREG streamlines the path from raw data to a validated nonlinear model and is well suited to applications across the physical, life, and social sciences where nonlinear relationships are prevalent.

NLREG -- Nonlinear Regression Program is developed by Phillip H. Sherrod. The most popular versions of this product among our users are: 6.5 and 6.6.