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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Optimization criteria in sample selection step of local regression for quantitative analysis of large soil NIRS database
TL;DR: In this paper, the influence of index computation and neighbour selection on calibration results using local PLSR models on a large soil spectral database was investigated and an index based on the coefficient correlation with FFT compression that led to a neighbourhood selection gave the best prediction results for the four considered soil constituents.
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An online application of dynamic PLS to a dearomatization process
TL;DR: The developed online-monitoring application for an industrial dearomatization process was successful in real-time process monitoring and it fulfilled the industrial requirements.
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Application of Multivariate Data Analysis for Identification and Successful Resolution of a Root Cause for a Bioprocessing Application
TL;DR: Application of MVDA as a diagnostic tool was successful in identifying the root cause and designing experimental conditions to demonstrate and correct it and MVDA was successfully used as an effective tool for collating process knowledge and increasing process understanding.
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A multivariate analysis of carbon dioxide emissions, electricity consumption, economic growth, financial development, industrialization, and urbanization in Senegal
TL;DR: In this article, a multivariate analysis of carbon dioxide emissions, electricity consumption, economic growth, financial development, industrialization, and urbanization was performed in Senegal using the nonlinear iterative partial least squares (NIPALS) regression during the period 1980-2011.
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Quantitative multiplexing with nano-self-assemblies in SERS
TL;DR: A facile supramolecular SERS-based method for quantitative multiplex analysis of small organic molecules in aqueous environments such as human urine is reported.
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.
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.