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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Mixed integer quadratic optimization formulations for eliminating multicollinearity based on variance inflation factor
Ryuta Tamura,Ken Kobayashi,Yuichi Takano,Yuichi Takano,Ryuhei Miyashiro,Kazuhide Nakata,Tomomi Matsui +6 more
TL;DR: This paper considers how to select a subset of significant variables by means of the variance inflation factor (VIF) to select the best subset of explanatory variables subject to the upper bounds on the VIFs of selected variables.
Journal ArticleDOI
Gas chromatography/mass spectrometry based component profiling and quality prediction for Japanese sake
TL;DR: The methodology clarified the correlation between sake attribute and 200 low molecular components and presented the importance of each component thus, providing new insights to the flavor study of sake.
Journal ArticleDOI
Improved Prediction of Falls in Community-Dwelling Older Adults Through Phase-Dependent Entropy of Daily-Life Walking.
Espen A. F. Ihlen,Kimberley S. van Schooten,Sjoerd M. Bruijn,Sjoerd M. Bruijn,Jaap H. van Dieën,Jaap H. van Dieën,Beatrix Vereijken,Jorunn L. Helbostad,Mirjam Pijnappels,Mirjam Pijnappels +9 more
TL;DR: Taking into account phase-dependent changes in the stability of the gait dynamics has additional value for predicting falls in older people, especially for single-time prospective fallers.
Journal ArticleDOI
Multivariate data analysis as a PAT tool for early bioprocess development data
TL;DR: The power of multivariate data analysis (MVDA) as a Process Analytical Technology tool to analyze early development data of a PER.C6® cell cultivation process is illustrated.
Journal ArticleDOI
Inferring plant functional diversity from space: the potential of Sentinel-2
Xuanlong Ma,Miguel D. Mahecha,Mirco Migliavacca,Fons van der Plas,Raquel Benavides,Sophia Ratcliffe,Jens Kattge,Ronny Richter,Talie Musavi,Lander Baeten,Ionut Barnoaiea,Friedrich J. Bohn,Olivier Bouriaud,Filippo Bussotti,Andrea Coppi,Timo Domisch,Andreas Huth,Bogdan Jaroszewicz,Julia Joswig,Daniel E. Pabon-Moreno,Dario Papale,Federico Selvi,Gaia Vaglio Laurin,Fernando Valladares,Fernando Valladares,Markus Reichstein,Markus Reichstein,Christian Wirth,Christian Wirth +28 more
TL;DR: In this article, the relationship between FD and spectral reflectance measurements taken by ESA's Sentinel-2 satellite over 117 field plots located in 6 European countries, with 46 plots having in-situ sampled leaf traits and the other 71 using traits from the TRY database.
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.