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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Sensory and hedonic perception of gluten-free bread: Comparison between celiac and non-celiac subjects
TL;DR: Comparisons of sensory and hedonic perception of celiac and non-celiac subjects showed no difference between the two groups in the description and perception of gluten-free bread (GFB) and that the choice of bread was based upon the same sensory attributes.
Journal ArticleDOI
Differential effects of vegetation restoration in Mediterranean abandoned cropland by secondary succession and pine plantations on bird assemblages
TL;DR: In this article, the authors compared the effects of two contrasting trajectories of vegetation restoration on bird assemblages in central Spain and found that the number of forest species increased with vegetation maturity in both restoration trajectories, but especially in stands under active restoration.
Journal ArticleDOI
Estimation of soil organic carbon and total nitrogen in different soil layers using VNIR spectroscopy: Effects of spiking on model applicability
TL;DR: Zhang et al. as discussed by the authors investigated the applicability of spectroscopic models between soil layers and explored the possibility of using spiking with extra-weighting to improve model applicability.
Journal ArticleDOI
Nondestructive Detection of Soluble Solids Content of Apples from Dielectric Spectra with ANN and Chemometric Methods
TL;DR: In this article, the authors investigated the feasibility of using dielectric spectra in nondestructively determining the soluble solids content (SSC) of apples, using principal component analysis (PCA), uninformative variables elimination method (UVE-PLS), based on partial least squares, and successive projection algorithm (SPA) to extract characteristic vari- ables from original full dielectrics spectra.
Journal ArticleDOI
Robust detection of P. aeruginosa and S. aureus acute lung infections by secondary electrospray ionization-mass spectrometry (SESI-MS) breathprinting: From initial infection to clearance
Jiangjiang Zhu,Jaime Jiménez-Díaz,Heather D. Bean,Nirav Daphtary,Minara Aliyeva,Lennart K. A. Lundblad,Jane E. Hill +6 more
TL;DR: It is shown that SESI-MS breathprinting can be used to robustly classify acute P. aeruginosa and S. aureus mouse lung infections at any time during the 120 h infection/clearance process.
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.