Multivariate Regression Model for Predicting Lumber Grade Volumes of Northern Red Oak Sawlogs

摘要

A multivariate regression model was developed to predict green board-foot yields for the seven common lumber grades processed from northern red oak factory logs. The model may be modified to predict various combinations of lumber grades.