Roy's Largest Root is a statistical test used in multivariate analysis of variance (MANOVA) to determine if there are significant differences between groups by focusing on the largest eigenvalue of a matrix derived from the data. It is particularly useful when the largest eigenvalue dominates and provides a powerful test under certain conditions, but may not be robust when this assumption is violated.