Results 21 to 30 of about 112,882 (301)
Proceedings, 2023 Exposure to persistent organic pollutants (POPs) is suspected to play a role in the occurrence of estrogen receptor-positive breast cancer (ER-positive BC). Our objective was to investigate the association between patterns of dietary exposure to POPs and
Pauline Frenoy +2 more
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Envelopes and Partial Least Squares Regression
Journal of the Royal Statistical Society Series B: Statistical Methodology, 2013 SummaryWe build connections between envelopes, a recently proposed context for efficient estimation in multivariate statistics, and multivariate partial least squares (PLS) regression. In particular, we establish an envelope as the nucleus of both univariate and multivariate PLS, which opens the door to pursuing the same goals as PLS but using ...
Cook, R. D., Helland, I. S., Su, Z.
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IEEE Access, 2021 The statistically inspired modification of the partial least squares (SIMPLS) is the most commonly used algorithm to solve a partial least squares regression problem when the number of explanatory variables ( $p$ ) is larger than the sample size ( $n$ ).
Abdullah Mohammed Rashid +3 more
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Performance modelling in forest operations through partial least square regression
Silva Fennica, 2012 Partial Least Square (PLS) regression is a recent soft-modelling technique that generalizes and combines features from principal component analysis (PCA) and multiple regression.
Costa, Corrado +2 more
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Applied Sciences, 2023 This study investigates and compares various multivariate regression methods, including principal component regression (PCR) and partial least squares regression (PLSR), for flight load analysis and demonstrates their high learning efficiency and strong ...
Qi Yan, Chao Yang, Zhiqiang Wan
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Tensor Envelope Partial Least-Squares Regression
Technometrics, 2017 Partial least squares (PLS) is a prominent solution for dimension reduction and high-dimensional regressions. Recent prevalence of multidimensional tensor data has led to several tensor versions of the PLS algorithms. However, none offers a population model and interpretation, and statistical properties of the associated parameters remain intractable ...
Xin Zhang 0132, Lexin Li
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The Degrees of Freedom of Partial Least Squares Regression [PDF]
Journal of the American Statistical Association, 2011 Preprint: Weierstraß-Institut für Angewandte Analysis und Stochastik, vol ...
Sugiyama, Masashi, Krämer, Nicole
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Inferential control with the aid of modified QPLS-based soft sensor for an industrial FCCU fractionator [PDF]
, 2010 A modified quadratic partial least squares (MQPLS) algorithm based on non-linear constrained programming is proposed, in which a sequential unconstrained minimisation technique is employed to calculate the outer input weights and the parameters of inner ...
Yang, Minghui +7 more
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Optimization of wood flour acetylation by factorial design and partial least squares regression
Química Nova, 2012 Acetylation was performed to reduce the polarity of wood and increase its compatibility with polymer matrices for the production of composites. These reactions were performed first as a function of acetic acid and anhydride concentration in a mixture ...
Lisandra M. K. Nadal +3 more
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Scaled Predictor Envelopes and Partial Least-Squares Regression [PDF]
Technometrics, 2016 Partial least squares (PLS) is a widely used method for prediction in applied statistics, especially in chemometrics applications. However, PLS is not invariant or equivariant under scale transformations of the predictors, which tends to limit its scope to regressions in which the predictors are measured in the same or similar units. Cook et al. (2013)
R. Dennis Cook, Zhihua Su
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