A weighted view on the partial least-squares algorithm
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Publication:1977038
DOI10.1016/S0005-1098(99)00210-1zbMath0953.93078OpenAlexW1992689270WikidataQ127472401 ScholiaQ127472401MaRDI QIDQ1977038
Publication date: 22 January 2001
Published in: Automatica (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/s0005-1098(99)00210-1
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Uses Software
Cites Work
- Total linear least squares and the algebraic Riccati equation
- On Tikhonov regularization, bias and variance in nonlinear system identification
- The Collinearity Problem in Linear Regression. The Partial Least Squares (PLS) Approach to Generalized Inverses
- On the structure of partial least squares regression
- Comparison of prediction methods for multicollinear data
- LSQR: An Algorithm for Sparse Linear Equations and Sparse Least Squares
- Regularization by Truncated Total Least Squares
- A Statistical View of Some Chemometrics Regression Tools
- Matrix Calculus Operations and Taylor Expansions
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