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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A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding.
Piotr S. Gromski,Howbeer Muhamadali,David I. Ellis,Yun Xu,Elon Correa,Michael L. Turner,Royston Goodacre +6 more
TL;DR: This tutorial review aims to provide an introductory overview to several straightforward statistical methods such as principal component-discriminant function analysis (PC-DFA), support vector machines (SVM) and random forests (RF), which could very easily be used either to augment PLS or as alternative supervised learning methods to PLS-DA.
Journal ArticleDOI
Multicollinearity in Regression Analyses Conducted in Epidemiologic Studies.
TL;DR: A review of epidemiological literature in PubMed from January 2004 to December 2013 illustrated the need for a greater attention to identifying and minimizing the effect of multicollinearity in analysis of data from epidemiologic studies.
Journal ArticleDOI
Partial least squares regression as an alternative to current regression methods used in ecology
TL;DR: Partial least squares regression analysis (PLSR) as mentioned in this paper is a statistical technique particularly well suited to analyzing a large array of related predictor variables (i.e. not truly independent), with a sample size not large enough compared to the number of independent variables, and in cases in which an attempt is made to approach complex phenomena or syndromes that must be defined as a combination of several variables obtained independently.
Journal ArticleDOI
Partial least squares discriminant analysis: taking the magic away
TL;DR: Partial least squares discriminant analysis (PLS-DA) has been available for nearly 20 years yet is poorly understood by most users as mentioned in this paper, however, despite these limitations, PLS-DA can provide good insight into the causes of discrimination via weights and loadings, which gives it a unique role in exploratory data analysis, for example in metabolomics via visualization of significant variables such as metabolites or spectroscopic peaks.
Journal ArticleDOI
American Gut: an Open Platform for Citizen Science Microbiome Research.
Daniel McDonald,Embriette R. Hyde,Justine W. Debelius,James T. Morton,Antonio Gonzalez,Gail Ackermann,Alexander A. Aksenov,Alexander A. Aksenov,Bahar Behsaz,Caitriona Brennan,Yingfeng Chen,Lindsay DeRight Goldasich,Pieter C. Dorrestein,Pieter C. Dorrestein,Robert R. Dunn,Ashkaan K. Fahimipour,James Gaffney,Jack A. Gilbert,Grant Gogul,Jessica L. Green,Philip Hugenholtz,Greg Humphrey,Curtis Huttenhower,Curtis Huttenhower,Matthew A. Jackson,Stefan Janssen,Dilip V. Jeste,Lingjing Jiang,Scott T. Kelley,Dan Knights,Tomasz Kosciolek,Joshua Ladau,Jeff Leach,Clarisse Marotz,Dmitry Meleshko,Alexey V. Melnik,Alexey V. Melnik,Jessica L. Metcalf,Hosein Mohimani,Emmanuel Montassier,Emmanuel Montassier,Jose A. Navas-Molina,Tanya T. Nguyen,Shyamal D. Peddada,Pavel A. Pevzner,Katherine S. Pollard,Gholamali Rahnavard,Gholamali Rahnavard,Adam Robbins-Pianka,Naseer Sangwan,Joshua Shorenstein,Larry Smarr,Se Jin Song,Tim D. Spector,Austin D. Swafford,Varykina G. Thackray,Luke R. Thompson,Luke R. Thompson,Anupriya Tripathi,Yoshiki Vázquez-Baeza,Alison Vrbanac,Paul E. Wischmeyer,Elaine Wolfe,Qiyun Zhu,Rob Knight +64 more
TL;DR: The utility of the living data resource and cross-cohort comparison is demonstrated to confirm existing associations between the microbiome and psychiatric illness and to reveal the extent of microbiome change within one individual during surgery, providing a paradigm for open microbiome research and education.
References
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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.
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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.