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Contributions to partial least squares regression and
Subset based least squares subspace regression in RKHS
Least--Squares Tool Path Approximation
Assumptions and Properties of Ordinary Least Squares, and
Iterative weighted least squares algorithms for neural networks classifiers
Modeling Structure Property Relationships with Kernel Recursive Least Squares
Overview of total least-squares methods
Partial Least Squares Structural Equation Modeling (PLS-SEM
A generalized least squares matrix decomposition
The Causal Interpretation of Two-Stage Least Squares with
Generalized Least Squares Methods for Bivariate Poisson Regression
Vector Orthogonal Polynomials and Least Squares Approximation
Comparison of principal components regression, partial least squares regression, multi-block partial least squares regression, and serial partial least squares regression algorithms
PoLiSh — smoothed partial least-squares regression
The 1973 Least-Squares Adjustment - Standard Reference Data
RECENT ADVANCES IN LEAST SQUARES 3D SURFACE MATCHING
Scaled total least squares fundamentals
Pure order recursive least-squares ladder algorithms
Lower Rank Approximation of Matrices by Least Squares With
On equality and proportionality of ordinary least squares, weighted least squares and best linear unbiased estimators in the general linear model
Bayesian Sparse Partial Least Squares
Brain MRI Slices Classification Using Least Squares Support Vector Machine
Performance analysis of the total least squares ESPRIT algorithm
Least squares 3D surface and curve matching
Straight Line Extraction Using Interative Total Least Squares Methods
Preconditioned Least-Squares Petrov–Galerkin Reduced
Least-squares estimation of two-ordered monotone regression curves
Fast Solution of Toeplitz- and Cauchy-Like Least-Squares Problems
Triadic Distance Models: Axiomatization and Least Squares Representation
Four-field Galerkin/least-squares formulation for viscoelastic fluids
