What Does HPLS Stand For?

HPLS stands for Hierarchical Partial Least Squares

Hierarchical Partial Least Squares (HPLS) is a statistical modeling technique that combines the principles of partial least squares regression with a hierarchical structure to analyze complex data sets. It allows researchers to handle multiple levels of data, facilitating the exploration of relationships among variables in nested or grouped settings. HPLS is particularly useful in fields such as social sciences, marketing research, and bioinformatics, where data often exhibit hierarchical patterns. By effectively capturing both intra- and inter-group variations, HPLS enhances predictive accuracy and provides deeper insights into underlying data structures.