Robust regression via discriminant analysis

Abstract

For linear regression with grouped data, and with an equal number of observations per grouping point, linear discriminant analysis is applied to the ordered response variables to find that combination which shows strongest linear regression. After a modification to remove weights with an anomalous sign, there results a robust estimate of slope. Generalizations are outlined.