 Proportional reduction in error is a more restrictive framework widely used in statistics, in which the general loss function is replaced by a more direct measure of error such as the mean square error.Examples are the coefficient of determination and Goodman and Kruskal's lambda.The concept of proportional reduction in loss was proposed by Bruce Cooil and Roland T. Rust in their 1994 paper.