Journal ArticleDOI
PLS-regression: a basic tool of chemometrics
Reads0
Chats0
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
Citations
More filters
Journal ArticleDOI
Paradigm Shift in Toxicity Testing and Modeling
TL;DR: It is perceivable that new in silico toxicity models based on high-quality qHTS data will achieve unprecedented reliability and robustness, thus becoming a valuable tool for risk assessment and drug discovery.
Journal ArticleDOI
Sympathoadrenal Activation is Associated with Acute Traumatic Coagulopathy and Endotheliopathy in Isolated Brain Injury.
Alex P. Di Battista,Sandro Rizoli,Brandon Lejnieks,Arimie Min,Maria Y. Shiu,Henry T. Peng,Andrew J. Baker,Michael G. Hutchison,Nathan W. Churchill,Kenji Inaba,Bartolomeu Nascimento,Airton Leonardo de Oliveira Manoel,Andrew Beckett,Shawn G. Rhind +13 more
TL;DR: Biomarker profiles in patients with an unfavorable outcome displayed procoagulation, hyperfibrinolysis, glycocalyx and endothelial damage, vasculature activation, and inflammation, suggesting biomarkers of coagulopathy and endotheliopathy are associated with poor outcome after TBI.
Journal ArticleDOI
Determination of tetracycline hydrochloride by terahertz spectroscopy with PLSR model.
TL;DR: Overall, THz spectroscopy combined with PLSR model had its potential for the rapid and non-destructive prediction of TC-HCl residue without sophisticated methods, although the accuracy was not high for solution samples which should be improved in future study.
Journal ArticleDOI
Real-Time NDT-NDE Through an Innovative Adaptive Partial Least Squares SVR Inversion Approach
Marco Salucci,Nicola Anselmi,Giacomo Oliveri,Pierre Calmon,Roberto Miorelli,Christophe Reboud,Andrea Massa +6 more
TL;DR: A feature extraction technique based on partial least squares is profitably combined with a customized output space filling (OSF) adaptive sampling scheme for generating optimal training databases, while accurate and robust reconstructions are performed with a support vector regression (SVR) algorithm.
Journal ArticleDOI
Modeling soil parameters using hyperspectral image reflectance in subtropical coastal wetlands
TL;DR: Optimism is provided that remote-sensing spectral models can successfully predict soil properties indicative of ecosystem nutrient and organic matter turnover and storage, and do so in areas with dense canopy cover.
References
More filters
Book
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.