Partial Least Squares Regression for Binary Data

Classical Partial Least Squares (PLS) models were developed primarily for continuous data, allowing dimensionality reduction while preserving relationships between predictors and responses. However, their application to binary data is limited. This study introduces Binary Partial Least Squares (BPLS), a novel extension of the PLS methodology designed specifically for scenarios involving binary predictors and responses.