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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Trace element composition of igneous and hydrothermal magnetite from porphyry deposits : relationship to deposit subtypes and magmatic affinity
Xiao-Wen Huang,Xiao-Wen Huang,Anne-Aurélie Sappin,Anne-Aurélie Sappin,Emilie Boutroy,Georges Beaudoin,Sheida Makvandi +6 more
TL;DR: In this paper, the trace element composition of igneous and hydrothermal magnetite from 19 well-studied porphyry Cu ± Au ± Mo, Mo, and W-Mo deposits was measured by laser ablation-inductively coupled plasma-mass spectrometry (LA-ICP-MS) and then classified by partial least squares-discriminant analysis (PLS-DA) to constrain the factors explaining the relationships between the chemical composition of magnetite and the magmatic affinity and porphyries.
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Polymer/clay nanocomposite films as active packaging material: Modeling of antimicrobial release
Víctor H. Campos-Requena,Bernabé L. Rivas,Mónica A. Pérez,Karla A. Garrido-Miranda,Eduardo Pereira +4 more
TL;DR: An integral combination of design of experiments (DoE), partial least squares regression (PLSR) and response surface methodology (RSM) was applied to model the release of carvacrol into a food simulant from an antimicrobial material based on low-density polyethylene/organically-modified montmorillonite (LDPE/OMM) nanocomposite films as discussed by the authors.
Journal ArticleDOI
Multivariate Exploratory Data Analysis (MEDA) Toolbox for Matlab
TL;DR: Traditional exploratory plots based on Principal Component Analysis (PCA) or Partial Least Squares (PLS), such as score, loading and residual plots, are combined with new methods like MEDA, oMEDA and SVI plots in the MEDA Toolbox in Matlab.
Journal ArticleDOI
The Development of Hyperspectral Distribution Maps to Predict the Content and Distribution of Nitrogen and Water in Wheat (Triticum aestivum)
TL;DR: The findings and methods from this study demonstrate the high potential of high-throughput hyperspectral imagery for estimating and visualizing the distribution of plant chemical properties.
Journal ArticleDOI
Machine Learning Techniques for THz Imaging and Time-Domain Spectroscopy.
Hochong Park,Joo-Hiuk Son +1 more
TL;DR: This review introduces the concept of machine learning and basic machine learning techniques and examines the methods for performance evaluation, and summarizes representative examples of terahertz imaging and time-domain spectroscopy that are conducted using machine learning.
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.