Partial least squares discriminant analysis

{
  "id": "MLC-T-CHM-008491",
  "term": "Partial least squares discriminant analysis",
  "field": "Chemistry",
  "definition": "A chemometric classification method that combines features of partial least squares regression and discriminant analysis. It constructs latent variables that maximize the covariance between the predictor variables and the class membership variables. This technique is applied to classify samples into predefined groups based on their chemical profiles.",
  "subject": "Analytical Chemistry",
  "see_also": [
    "data pre-processing",
    "exploratory data analysis",
    "linear discriminant analysis",
    "partial least squares regression",
    "quadratic discriminant analysis",
    "regularized discriminant analysis"
  ],
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 430 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/partial-least-squares-discriminant-analysis/"
}