Principal components regression

{
  "id": "MLC-T-CHM-009469",
  "term": "Principal components regression",
  "field": "Chemistry",
  "definition": "A multivariate statistical method that combines principal component analysis with multiple linear regression. It reduces the dimensionality of a dataset by transforming a set of correlated variables into a smaller set of uncorrelated principal components. These components are then used as predictors in a regression model to predict a response variable.",
  "subject": "Analytical Chemistry",
  "see_also": [
    "multivariate calibration",
    "principal-component factor",
    "multilinear least squares regression",
    "partial least squares regression",
    "principal-component analysis",
    "score"
  ],
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 435 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/principal-components-regression/"
}