Least squares regression that minimizes the sum of squared differences between the known values of dependent variable and values predicted by a linear model.
Notes: - Assumptions of the model are that error is only in the dependent variable, Normally-distributed, and homoscedastic.
- OLSR is used for calibration and multivariate calibration.
Source:
PAC, 2016, 88, 407. 'Vocabulary of concepts and terms in chemometrics (IUPAC Recommendations 2016)' on page 434 (https://doi.org/10.1515/pac-2015-0605)