Orthogonal projections to latent structures

{
  "id": "MLC-T-CHM-008340",
  "term": "Orthogonal projections to latent structures",
  "field": "Chemistry",
  "definition": "A multivariate statistical method that separates the variation in the X-matrix (predictors) into two parts: one that is linearly related to the Y-matrix (responses) and another that is orthogonal to Y. This technique enhances the interpretability of models by isolating predictive variation from orthogonal variation. It is commonly used in chemometrics for quantitative structure-activity relationship (QSAR) studies.",
  "subject": "Chemistry and Human Health",
  "references": [
    "PAC, 2016, 88, 239. 'Glossary of terms used in computational drug design, part II (IUPAC Recommendations 2015)' on page 251 (https://doi.org/10.1515/pac-2012-1204)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/orthogonal-projections-to-latent-structures/"
}