The pls Package: Principal Component and Partial Least Squares Regression in R
Journal of Statistical Software, 2007 The pls package implements principal component regression (PCR) and partial least squares regression (PLSR) in R (R Development Core Team 2006b), and is freely available from the Comprehensive R Archive Network (CRAN), licensed under the GNU General ...
Bjørn-Helge Mevik
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Comparison of partial least squares regression, least squares support vector machines, and Gaussian process regression for a near infrared calibration [PDF]
Journal of Near Infrared Spectroscopy, 2017 This paper investigates the use of least squares support vector machines and Gaussian process regression for multivariate spectroscopic calibration. The performances of these two non-linear regression models are assessed and compared to the traditional ...
Tom Fearn
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Partial least squares regression
, 2011 127 σ.Πολλές φορές δυο ή περισσότερες ποσοτικές μεταβλητές εξετάζονται ταυτόχρονα προκειμένου να προσδιοριστεί η οποιαδήποτε σχέση υπάρχει μεταξύ τους η αλλιώς για την πρόβλεψη μιας από τις υπόλοιπες μεταβλητές.
Stavrinidis, Stavros-Konstantinos M. +1 more
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Partial Least Squares Regression on Symmetric Positive-Definite Matrices [PDF]
Revista Colombiana de Estadística, 2013 Recientemente ha habido un aumento en el interés de analizar diferentes tipos de datos variedad-valuados, dentro de los cuáles aparecen los datos de matrices simétricas definidas positivas.
RAÚL ALBERTO PÉREZ +1 more
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Domain-Invariant Partial-Least-Squares Regression
Analytical Chemistry, 2018 Multivariate calibration models often fail to extrapolate beyond the calibration samples because of changes associated with the instrumental response, environmental condition, or sample matrix.
Ramin Nikzad-Langerodi (5211452) +3 more
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Quaternion kernel partial least squares regression algorithms.
Journal of the Franklin InstituteThis work provides three quaternion kernel partial least squares (PLS) algorithms for linear and nonlinear regressions. Firstly, the problem of large ill-conditioned matrices is tackled and two specifically designed linear kernel algorithms are suggested.
Jiménez-López, José Domingo +3 more
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Partial least-squares regression for soil salinity mapping in Bangladesh
Ecological Indicators, 2023 Estimating the salinity of the soil along the coast of south-western Bangladesh is the focus of this study. Thirteen soil salinity indicators were computed using the Landsat OLI images, and 241 soil salinity samples were gathered from secondary sources ...
Showmitra Kumar Sarkar +3 more
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Compressor map regression modelling based on partial least squares [PDF]
Royal Society Open Science, 2018 In this work, two kinds of partial least squares modelling methods are applied to predict a compressor map: one uses a power function polynomial as the basis function (PLSO), and the other uses a trigonometric function polynomial (PLSN).
Xu Li +6 more
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Partial Least Squares Regression for Binary Responses and Its Associated Biplot Representation
Mathematics, 2022 In this paper, we propose a generalization of Partial Least Squares Regression (PLS-R) for a matrix of several binary responses and a a set of numerical predictors. We call the method Partial Least Squares Binary Logistic Regression (PLS-BLR).
Laura Vicente-Gonzalez +1 more
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APPLICATION OF PARTIAL LEAST SQUARES REGRESSION FOR AUDIO-VISUAL SPEECH PROCESSING AND MODELING [PDF]
Научно-технический вестник информационных технологий, механики и оптики, 2015 Subject of Research. The paper deals with the problem of lip region image reconstruction from speech signal by means of Partial Least Squares regression. Such problems arise in connection with development of audio-visual speech processing methods.
A. L. Oleinik
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