Results 141 to 150 of about 614,693 (221)

Drift Subtraction for Fast-Scan Cyclic Voltammetry Using Double-Waveform Partial-Least-Squares Regression. [PDF]

Anal Chem, 2019
Meunier CJ, McCarty GS, Sombers LA.
europepmc   +1 more source

Determination of optimum number of components in partial least squares regression from distributions of the root‐mean‐squared error obtained by Monte Carlo resampling

, 2018
O. Kvalheim, R. Arneberg, B. Grung, T. Rajalahti   +3 more
semanticscholar   +1 more source

Prediction of Milk Coagulation Properties and Individual Cheese Yield in Sheep Using Partial Least Squares Regression. [PDF]

Animals (Basel), 2019
Cellesi M, Correddu F, Manca MG, Serdino J, Gaspa G, Dimauro C, Macciotta NPP.   +6 more
europepmc   +1 more source

Recognition of antitussive components in Farfarae Flos based on grey relational analysis and partial least squares regression. [PDF]

Zhong Nan Da Xue Xue Bao Yi Xue Ban
Wu D, Lin X, Liu K, Ning H, Luo W, Zhao G.   +5 more
europepmc   +1 more source

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Partial least-squares regression: a tutorial

Analytica Chimica Acta, 1986
Abstract A tutorial on the partial least-squares (PLS) regression method is provided. Weak points in some other regression methods are outlined and PLS is developed as a remedy for those weaknesses. An algorithm for a predictive PLS and some practical hints for its use are given.
Paul Geladi, Bruce R. Kowalski
openaire   +2 more sources

Domain adaptive partial least squares regression

Chemometrics and Intelligent Laboratory Systems, 2020
Abstract In practical applications, the problem of training- and test-samples from different distributions is often encountered, such as instruments or external environmental factors change when measuring the data. Therefore, a multivariate calibration model established, based on the training set needs to be adaptive to meet the requirements of test ...
Guangzao Huang, Xiaojing Chen, Limin Li, Xi Chen, Leiming Yuan, Wen Shi   +5 more
openaire   +2 more sources

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. Most of the current methods used to adapt a source calibration model to a target domain exclusively apply to calibration transfer between similar analytical ...
Ramin Nikzad-Langerodi, Werner Zellinger, Edwin Lughofer, Susanne Saminger-Platz   +3 more
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Partial least trimmed squares regression

Chemometrics and Intelligent Laboratory Systems, 2022
Zhonghao Xie, Xi'an Feng, Xiaojing Chen
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Partial least median of squares regression

Journal of Chemometrics, 2022
Abstract In modern data analysis, there is an increasing availability of datasets with numerous variables. Linear models that deal with abundant predictor variables often have poor performance because they tend to produce large variances. As well known, partial least squares (PLS) regression standouts because it is serviceable even if
Zhonghao Xie, Xi'an Feng, Limin Li, Xiaojing Chen   +3 more
openaire   +1 more source