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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Partial least squares-discriminant analysis of trace element compositions of magnetite from various VMS deposit subtypes: Application to mineral exploration
Sheida Makvandi,Massoud Ghasemzadeh-Barvarz,Georges Beaudoin,Eric C. Grunsky,M. Beth McClenaghan,Carl Duchesne,Emilie Boutroy +6 more
TL;DR: In this paper, the petrography and mineral chemistry of magnetite from fifteen volcanogenic massive sulfide (VMS) deposits in Canada, and the Lasail VMS deposit in Oman, as well as from two VMS-associated banded iron formations (BIF), were investigated using optical microscopy, electron probe micro-analyzer (EPMA), and laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS).
Journal ArticleDOI
Development of a Process Analytical Technology (PAT) for in-line monitoring of film thickness and mass of coating materials during a pan coating operation
Claire Gendre,Muriel Genty,Mathieu Boiret,Marc Julien,Loïc Meunier,Olivier Lecoq,Michel Baron,Pierre Chaminade,Jean Manuel Pean +8 more
TL;DR: It is demonstrated that in-line NIR measurements associated with multivariate analyses can be implemented to monitor in real-time a pan coating operation in order to fulfil the expectations of ICH Q8 guideline on pharmaceutical development, especially in terms of PAT control strategy and reduced end-product testing.
Journal ArticleDOI
Performance monitoring of a mammalian cell based bioprocess using Raman spectroscopy.
TL;DR: Raman spectroscopy is used to monitor (in terms of glycoprotein yield prediction) a fed-batch fermentation from start to finish and indicates that media quality is one of the most significant factors determining the efficiency of industrial CHO-cell processes.
Journal ArticleDOI
Investigation of the relationship between chemical composition and size distribution of airborne particles by partial least squares and positive matrix factorization
Liming Zhou,Philip K. Hopke,Charles O. Stanier,Charles O. Stanier,Spyros N. Pandis,John M. Ondov,J. Patrick Pancras +6 more
TL;DR: In this article, two multivariate data analysis methods, partial least square (PLS) and positive matrix factorization (PMF), were used to analyze aerosol size distribution data and composition data.
Journal ArticleDOI
Phenotypic plasticity of southern ocean diatoms: key to success in the sea ice habitat?
Olivia Sackett,Katherina Petrou,Brian Reedy,Adrian De Grazia,Ross Hill,Martina A. Doblin,John Beardall,Peter J. Ralph,Philip Heraud +8 more
TL;DR: It is argued that changes in diatom macromolecular composition and shifts in species dominance in response to a changing climate have the potential to alter nutrient and energy fluxes throughout the Southern Ocean ecosystem.
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.