Non-linear iterative partial least squares

{
  "id": "MLC-T-CHM-008035",
  "term": "Non-linear iterative partial least squares",
  "field": "Chemistry",
  "definition": "An algorithm used in chemometrics to compute principal components and perform partial least squares regression, particularly for large data matrices. The method iteratively calculates the loading vectors and score vectors for each component without first computing the full covariance matrix of the data. This iterative approach makes it computationally efficient for analyzing datasets with many variables, such as those from spectroscopic measurements.",
  "subject": "Analytical Chemistry",
  "see_also": [
    "data matrix",
    "principal-component factor"
  ],
  "references": [
    "PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 422 (https://doi.org/10.1515/pac-2015-0605)"
  ],
  "url": "https://mlchart.com/terminology/chemistry/non-linear-iterative-partial-least-squares/"
}