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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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Journal ArticleDOI

Online monitoring of red meat color using hyperspectral imaging

TL;DR: The results indicated that hyperspectral imaging has the potential to be used for rapid assessment of meat color and was tested to develop an online monitoring system for red meat color in the meat industry.
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The complexity of daily life walking in older adult community-dwelling fallers and non-fallers

TL;DR: It is suggested that RCME and RMPE can be used to improve the assessment of fall risk in older people and higher complexity was found in the vertical and mediolateral directions in the non-fallers for both entropy metrics.
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Recognition of prokaryotic promoters based on a novel variable-window Z-curve method

TL;DR: A novel variable-window Z-curve method is developed to extract general features of prokaryotic promoters and is easy to run in a matter of minutes on ordinary personal computers or even laptops, making it very practical for predicting other species promoters without any prior knowledge or prior information of the statistical properties of the samples.
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Beyond genomics: understanding exposotypes through metabolomics.

TL;DR: The evolution and challenges of metabolomics in epidemiologic research, particularly for assessing environmental exposures and providing insights into gene-environment interactions, and mechanism of biological impact are discussed.
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A soft sensor method based on values predicted from multiple intervals of time difference for improvement and estimation of prediction accuracy

TL;DR: This paper has attempted to improve and estimate the prediction accuracy of time difference models, and proposed to handle multiple y -values predicted from multiple intervals of time gap, using a weighted average approach.
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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