What Does PLSR Stand For?

PLSR stands for Partial Least Squares Regression

Partial Least Squares Regression (PLSR) is a statistical method that models relationships between two data sets by projecting them into a new space. It combines features of principal component analysis and multiple regression, enabling the analysis of datasets with many predictor variables and collinearity issues. PLSR aims to identify the latent structures in the data while maximizing the covariance between the predictors and response variables, making it particularly useful in fields such as chemometrics, sensory analysis, and social sciences.