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 model-based systems approach to pharmaceutical product-process design and analysis
Krist V. Gernaey,Rafiqul Gani +1 more
TL;DR: In this paper, the authors highlight the need for systematic model-based design and analysis in pharmaceutical product-process development and highlight the role, development and use of models of various types and the structure of the models for the product and the process.
Journal ArticleDOI
Partial Least Square Discriminant Analysis for bankruptcy prediction
TL;DR: Partial Least Square Discriminant Analysis is used for the prediction of the 2008 USA banking crisis by means of contingency tables, correlations, cluster analysis and reduction dimensionality techniques, and results are very close to those obtained by Linear Discriminatory Analysis and Support Vector Machine.
Journal ArticleDOI
Sensory and instrumental profiling of 18 apple cultivars to investigate the relation between perceived quality and odour and flavour
Eugenio Aprea,Maria Laura Corollaro,Emanuela Betta,Isabella Endrizzi,Maria Luisa Demattè,Franco Biasioli,Flavia Gasperi +6 more
TL;DR: In this paper, a large number of apple cultivars (18) have been evaluated both by sensory and instrumental methods with the aim to characterise their perceived quality and its relation with odour and flavour.
Journal ArticleDOI
Gut metabolome meets microbiome: A methodological perspective to understand the relationship between host and microbe.
TL;DR: This review presents and discusses the metabolomic strategies to study the gut microbial ecosystem and highlights the metabolic profiling approaches to study faecal samples aimed at deciphering the metabolic product derived from gut microbiota.
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Blue Carbon Storage in Tropical Seagrass Meadows Relates to Carbonate Stock Dynamics, Plant–Sediment Processes, and Landscape Context: Insights from the Western Indian Ocean
Martin Gullström,Liberatus D. Lyimo,Liberatus D. Lyimo,Martin Dahl,Göran S. Samuelsson,Maria Eggertsen,Elisabeth Anderberg,Lina M. Rasmusson,Hans W. Linderholm,Anders Knudby,Salomão Bandeira,Lina Mtwana Nordlund,Mats Björk +12 more
TL;DR: In this paper, the authors consider seagrass ecosystems as major blue carbon sinks and thus indirect contributors to climate change mitigation and present a multi-scale appraisals of sources that are likely to contribute to mitigating climate change.
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.