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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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Multivariate Analysis in Metabolomics.

TL;DR: The use of multivariate analysis for metabolomics is discussed, as well as common pitfalls and misconceptions, and spectral features contributing most to variation or separation are identified for further analysis.
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Using data mining to model and interpret soil diffuse reflectance spectra.

TL;DR: In this article, the root mean square error (RMSE) and the Akaike Information Criterion (AIC) were used to compare different data mining algorithms for modelling soil visible-near infrared (vis-NIR) diffuse reflectance spectra and to assess the interpretability of the results.
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Analysis of the Human Adult Urinary Metabolome Variations with Age, Body Mass Index, and Gender by Implementing a Comprehensive Workflow for Univariate and OPLS Statistical Analyses

TL;DR: The impact of gender and age on the urinary metabolome is highlighted, and thus it indicates that these factors should be taken into account for the design of metabolomics studies.
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Precise and reliable gene expression via standard transcription and translation initiation elements

TL;DR: An expression cassette architecture for genetic elements controlling transcription and translation initiation in Escherichia coli is developed, demonstrating that arbitrary genes are reliably expressed to within twofold relative target expression windows with ∼93% reliability.
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Winter and spring warming result in delayed spring phenology on the Tibetan Plateau

TL;DR: To test the hypothesis that strong warming in winter could slow the fulfillment of chilling requirements, which may delay spring phenology, the beginning, end, and length of the growing season of meadow and steppe vegetation of the Tibetan Plateau in Western China between 1982 and 2006 was determined.
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

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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