Non-linear Least Squares

Non-linear Least Squares is a mathematical method used to find the best fit for data when the relationship between variables isn't a straight line. Instead, it fits a curve shaped by a specific formula, adjusting its parameters to minimize the difference between the data points and the curve's predictions. Think of it as tweaking the settings of a complex recipe until the taste (data) matches your expectation as closely as possible. This approach is vital when relationships in data are more complex than simple straight lines, enabling accurate modeling of real-world phenomena.