Partial Least Squares Regression for Binary Data
Classical Partial Least Squares Regression (PLSR) 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 S...
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| Main Authors: | Laura Vicente-Gonzalez, Elisa Frutos-Bernal, Jose Luis Vicente-Villardon |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/3/458 |
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