Figure 17From: Detecting outliers when fitting data with nonlinear regression – a new method based on robust nonlinear regression and the false discovery rateWorked example. The influence function for robust fitting, prior to the first iteration. The influence function is defined as RR/(1+RR2), where RR is defined in Equation 13. Even the points with the largest residuals (to the right on the graph) have substantial influence.Back to article page