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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Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties
TL;DR: The results offer an alternative to categorical maps of functional or physiognomic types by providing non-discrete maps of traits that define those functional types, and assign retrieval uncertainties by pixel to enable assimilation of these data products into ecosystem modeling frameworks to constrain carbon and nutrient cycling projections.
Journal ArticleDOI
Holocene seasonality changes in the central Mediterranean region reconstructed from the pollen sequences of Lake Accesa (Italy) and Tenaghi Philippon (Greece)
Odile Peyron,Simon Goring,Isabelle Dormoy,Ulrich Kotthoff,Joerg Pross,Jacques-Louis de Beaulieu,Ruth Drescher-Schneider,Boris Vannière,Michel Magny +8 more
TL;DR: In this article, a pollen-based climate reconstructions of Holocene temperature and precipitation seasonality for two high-resolution pollen sequences from the central (Lake Accesa, central Italy) and eastern Mediterranean (Tenaghi Philippon, Greece) regions are presented.
Journal ArticleDOI
Hydrological responses to land use/cover changes in the source region of the Upper Blue Nile Basin, Ethiopia.
TL;DR: This study found that expansion of cultivation land and decline in woody shrub/woodland appear to be major environmental stressors affecting local water resources, especially in relation to erosion and sedimentation in the upper Blue Nile River Basin.
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A decision support system for managing irrigation in agriculture
Honorio Navarro-Hellín,J. Martínez-del-Rincon,Rafael Domingo-Miguel,F. Soto-Valles,Roque Torres-Sánchez +4 more
TL;DR: Two machine learning techniques, PLSR and ANFIS, are proposed as reasoning engine of the proposed automatic Smart Irrigation Decision Support System, SIDSS, which estimates the weekly irrigations needs of a plantation, based on soil and climatic variables.
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Data integration in plant biology: the O2PLS method for combined modeling of transcript and metabolite data.
TL;DR: This study demonstrates that the O2PLS multivariate regression method can be used for combining 'omics' types of data and shows how the models can be validated and interpreted to identify biologically relevant events.
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.