Journal ArticleDOI
PLS-regression: a basic tool of chemometrics
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TLDR
PLS-regression (PLSR) as mentioned in this paper is the PLS approach in its simplest, and in chemistry and technology, most used form (two-block predictive PLS) is a method for relating two data matrices, X and Y, by a linear multivariate model.About:
This article is published in Chemometrics and Intelligent Laboratory Systems.The article was published on 2001-10-28. It has received 7861 citations till now. The article focuses on the topics: Partial least squares regression.read more
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Method and system for predicting multi-variable outcomes
James M. Minor,Mika Illouz +1 more
TL;DR: In this article, the authors used recordable media for predicting multi-variable outcomes based on multiview inputs, providing a smoothing function, acting as a noise filter, to leverage communalities among outcomes.
Book
Leaf Optical Properties
TL;DR: This book reviews the state-of-the-art research on leaf optics, providing the necessary foundations in physics, chemistry and biology to make the context accessible to readers from various subject backgrounds.
Journal ArticleDOI
Seasonal Response of Grasslands to Climate Change on the Tibetan Plateau
TL;DR: Shortening of the growing season despite a longer thermally favorable period implies that vegetation on the Tibetan Plateau is unable to exploit additional thermal resources availed by climate change, which should be taken into account when projecting the impacts of climate change on ecosystem processes.
Journal ArticleDOI
Application of genetic algorithm-kernel partial least square as a novel nonlinear feature selection method: activity of carbonic anhydrase II inhibitors.
TL;DR: In this article, the GA-KPLS was combined with artificial neural network to develop a nonlinear QSAR model for predicting activities of a series of substituted aromatic sulfonamides as carbonic anhydrase II (CA II) inhibitors.
Journal ArticleDOI
Multivariate estimation of the limit of detection by orthogonal partial least squares in temperature-modulated MOX sensors.
Javier Burgués,Santiago Marco +1 more
TL;DR: A LOD estimation method based on applying the well-accepted univariate LOD formulas to the scores of the first component of an orthogonal PLS model is proposed, aiming at the detection of low concentrations of carbon monoxide in the presence of uncontrolled humidity.
References
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Regression Diagnostics: Identifying Influential Data and Sources of Collinearity
TL;DR: In this article, the authors present a method for detecting and assessing Collinearity of observations and outliers in the context of extensions to the Wikipedia corpus, based on the concept of Influential Observations.
Book
A User's Guide to Principal Components
TL;DR: In this paper, the authors present a directory of Symbols and Definitions for PCA, as well as some classic examples of PCA applications, such as: linear models, regression PCA of predictor variables, and analysis of variance PCA for Response Variables.
Journal ArticleDOI
A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation
Bradley Efron,Gail Gong +1 more
TL;DR: This paper reviewed the nonparametric estimation of statistical error, mainly the bias and standard error of an estimator, or the error rate of a prediction rule, at a relaxed mathematical level, omitting most proofs, regularity conditions and technical details.