Journal ArticleDOI
PLS-regression: a basic tool of chemometrics
Reads0
Chats0
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
Citations
More filters
Journal ArticleDOI
What are the ideal properties for functional food peptides with antihypertensive effect? A computational peptidology approach.
TL;DR: Quantitative structure-activity relationship modeling and quantum mechanics/molecular mechanics analysis of the structural basis and energetic profile involved in ACE-peptide complexes suggest that the tripeptides and tetrapeptides could be considered as ideal candidates for seeking potential functional food additives with both high antihypertensive activity and low bitterness.
Journal ArticleDOI
A new and efficient variable selection algorithm based on ant colony optimization. Applications to near infrared spectroscopy/partial least-squares analysis.
TL;DR: The present ACO algorithm employs the concept of cooperative pheromone accumulation, which is typical of ACO selection methods, and optimizes PLS models using a pre-defined number of variables, employing a Monte Carlo approach to discard irrelevant sensors.
Journal ArticleDOI
Identification of melanoma with a gas sensor array.
Anthony V. D'Amico,R. Bono,Giorgio Pennazza,Marco Santonico,Giulia Mantini,Mara Bernabei,M. Zarlenga,C. Roscioni,Eugenio Martinelli,Roberto Paolesse,C. Di Natale +10 more
TL;DR: In this article, the first application of sensor arrays to study the differentiation between melanomas and nevi, namely malignant and benign affection of melanocytary cells, was presented and discussed.
Journal ArticleDOI
Ecological constraints increase the climatic debt in forests.
Romain Bertrand,Gabriela Riofrio-Dillon,Jonathan Lenoir,Jacques Drapier,Patrice de Ruffray,Jean-Claude Gégout,Michel Loreau +6 more
TL;DR: Assessment of determinants of climatic debt accumulated in French forest herbaceous plant communities between 1987 and 2008 shows that warmer baseline conditions predispose plant communities to larger climatic debts, and that climate warming exacerbate this response.
Journal ArticleDOI
In-field hyperspectral proximal sensing for estimating quality parameters of mixed pasture
TL;DR: In this paper, a hand-held hyperspectral sensor equipped with a canopy pasture probe was used to assess a number of pasture quality parameters: crude protein (CP), acid detergent fibre (ADF), neutral detergent fiber (NDF), ash, dietary cation-anion difference (DCAD), lignin, lipid, metabolisable energy (ME) and organic matter digestibility (OMD) during the autumn season 2009.
References
More filters
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.