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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.
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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.

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Citations
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Tissue spray ionization mass spectrometry for rapid recognition of human lung squamous cell carcinoma

TL;DR: Tissue spray ionization mass spectrometry (TSI-MS) directly on small tissue samples has been shown to provide highly specific molecular information and allows surgeons to make more informed decisions during surgery.
Journal ArticleDOI

Different photolysis kinetics and photooxidation reactivities of neutral and anionic hydroxylated polybrominated diphenyl ethers.

TL;DR: The ether bond strength, the frontier molecular orbital energy and the charge distribution were found to be the intrinsic structural characters governing the photochemical reactivities of HO-PBDEs.
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Spectral reflectance properties of healthy and stressed coniferous trees

TL;DR: The study revealed that narrow-band based hyperspectral imaging has the potential for accurately detecting stress in coniferous trees.
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Prognostication of chronic disorders of consciousness using brain functional networks and clinical characteristics

TL;DR: This study aimed to develop a multidomain prognostic model that combines resting state functional MRI with three clinical characteristics to predict one year-outcomes at the single-subject level and is accurate, robust, and interpretable.
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On-line prediction of lamb fatty acid composition by visible near infrared spectroscopy

TL;DR: The potential of visible near infrared spectroscopy to quantify the fatty acid(FA) composition of lamb meat under commercial abattoir conditions is investigated and it is indicated that Vis-NIRS could be used as an on-line tool to predict a number of FA.
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.
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A Leisurely Look at the Bootstrap, the Jackknife, and Cross-Validation

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.
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