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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Sequential fusion of information from two portable spectrometers for improved prediction of moisture and soluble solids content in pear fruit.
Puneet Mishra,Federico Marini,Bastiaan Brouwer,Jean-Michel Roger,Alessandra Biancolillo,Ernst J. Woltering,Esther Hogeveen-van Echtelt +6 more
TL;DR: SO-PLS improved the prediction of moisture content (MC) and soluble solids content (SSC) in pear fruit, leading to an accuracy which was not obtainable with models built on any of the two spectral data set individually.
Journal ArticleDOI
Maturity estimation of mangoes using hyperspectral imaging from a ground based mobile platform
TL;DR: The results provide strong evidence that predicting maturity at a distance for all trees in an orchard is feasible using a hyperspectral camera, which will be an important management tool for growers to optimise harvest timing and yield.
Journal ArticleDOI
Soft sensor development for online quality prediction of industrial batch rubber mixing process using ensemble just-in-time Gaussian process regression models
TL;DR: A novel soft sensing method based on Gaussian process regression (GPR) models fortified with both ensemble learning and just-in-time (JIT) learning, which ensures precision and robustness at the same time.
Journal ArticleDOI
Volatile profile analysis and quality prediction of Longjing tea (Camellia sinensis) by HS-SPME/GC-MS.
TL;DR: This study has provided a novel option for quality prediction of green tea based on HS-SPME/GC-MS technique and developed a prediction model for aroma quality of Longjing teabased on potent odorants based on linear correlation analysis and partial least square regression.
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Relationships between sensorial characteristics and microbial dynamics in "Registered Designation of Origin" Salers cheese.
TL;DR: A global consideration of bacterial dynamics demonstrated that other bacteria than lactic acid bacteria can play a role in the elaboration of sensorial characteristics in raw milk cheeses, as well as high CG% Gram-positive bacteria can be involved.
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.