Comments on the relationship between principal components analysis and weighted linear regression for bivariate data sets
- 30 September 1996
- journal article
- Published by Elsevier in Chemometrics and Intelligent Laboratory Systems
- Vol. 34 (2) , 231-244
- https://doi.org/10.1016/0169-7439(96)00031-7
Abstract
No abstract availableKeywords
This publication has 14 references indexed in Scilit:
- Univariate regression models with errors in both axesJournal of Chemometrics, 1995
- Analysis of different modes of factor analysis as least squares fit problemsChemometrics and Intelligent Laboratory Systems, 1993
- Weighted analysis of principal components: Two approximations to statistical weightsJournal of Chemometrics, 1992
- Principal component analysisChemometrics and Intelligent Laboratory Systems, 1987
- Comment on ‘‘Least squares when both variables have uncertainties’’American Journal of Physics, 1984
- A better least-squares method when both variables have uncertaintiesAmerican Journal of Physics, 1984
- Least squares when both variables have uncertaintiesAmerican Journal of Physics, 1982
- Determining the number of interacting species: Significant factor analysisBiophysical Chemistry, 1981
- Least-squares fitting of a straight lineCanadian Journal of Physics, 1968
- LEAST-SQUARES FITTING OF A STRAIGHT LINECanadian Journal of Physics, 1966