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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Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques
Julian Coronel-Reyes,Ivan Ramirez-Morales,Enrique Fernandez-Blanco,Daniel Rivero,Alejandro Pazos +4 more
TL;DR: A novel alternative method based on low-cost devices for the rapid and non-destructive prediction of egg storage time at room temperature (23 ± 1 °C) using a near-infrared reflectance spectrometer connected to a smartphone.
Journal ArticleDOI
Selective protein quantification for preparative chromatography using variable pathlength UV/Vis spectroscopy and partial least squares regression
TL;DR: In this article, variable pathlength spectroscopy in conjunction with Partial Least Squares regression (PLS) was used to monitor preparative protein chromatography, which enabled the acquisition of absorbance data for a broad concentration range, and allowed for the differentiation between the protein species.
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Improved estimates of organic carbon using proximally sensed vis–NIR spectra corrected by piecewise direct standardization
TL;DR: In this article, the authors investigated the use of piecewise direct standardization (PDS) to remove the effects of water and other environmental factors from proximally sensed (field) visible-near infrared (vis-NIR) spectra.
Journal ArticleDOI
Application of handheld and portable spectrometers for screening acrylamide content in commercial potato chips.
TL;DR: In this article, portable and handheld infrared spectrometers were evaluated as rapid methods for screening acrylamide in potato chips and their performances were compared to those of benchtop infrared systems.
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Novel soft sensor method for detecting completion of transition in industrial polymer processes
TL;DR: This work proposed to construct models that detect the completion of transition to ensure that the polymer quality evaluated after transition conforms to the predicted one, and was found to exhibit higher predictive performance than traditional methods.
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.