Partial least squares (PLS)
Alternative smoothing strategies in smooth partial least squares path modelling
... of Partial Least Squares Path Modelling (PLS-PM) has received a growing interest in recent ...Smooth Partial Least Squares (PLSs) estimation technique studied in this work ...
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Recursive N-way partial least squares for brain-computer interface.
... N-way Partial Least Squares (NPLS) regression was invented [15,16] as a generalization of ordinary Partial Least Squares (PLS) [17] for the case of tensor ...
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PARTIAL LEAST SQUARES REGRESSION BASED VARIABLES SELECTION FOR WATER LEVEL PREDICTIONS
... Partial Least Squares (PLS) has been proven to be an effective approach to solve the problems in chemometrics such as by predicting the bioactivity of molecules to facilitate discovery of novel ...
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The optimal number of partial least squares components in genomic selection for pork pH
... ABSTRACT: The main application of genomic selection (GS) is the early identification of genetically superior animals for traits difficult- to-measure or lately evaluated, such as meat pH (measured after slaughter). ...
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Interval partial least squares and moving window partial least squares in determining the enantiomeric composition of tryptophan by using UV-Vis spectroscopy
... calibration methods are required to reveal this relationship. The partial least squares (PLS) method was usually used to develop the calibration model. The models reported in these studies were all ...
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A test for multigroup comparison using partial least squares path modeling
... In terms of unobserved heterogeneity, cluster analysis such as k-means clustering has been widely used in the context of PLS-PM to identify partitions that are used for group-specific estimations (Hair et al., 2018; ...
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Physico-chemical characterization of prato cheese by infrared spectroscopy and partial least squares regression.
... PHYSICO-CHEMICAL CHARACTERIZATION OF PRATO CHEESE BY INFRARED SPECTROSCOPY AND PARTIAL LEAST SQUARES REGRESSION. In this work an analytical methodology for the determination of relevant ...
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Classification of brain tumor extracts by high resolution 1H MRS using partial least squares discriminant analysis
... High resolution proton nuclear magnetic resonance spectroscopy ( 1 H MRS) can be used to detect biochemical changes in vitro caused by distinct pathologies. It can reveal distinct metabolic profiles of brain tumors ...
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Partial least squares regression in the social sciences
... In this example, figures and outputs are generated using JMP version 10 software; references to SAS version 9.3 are made throughout. JMP is particularly useful for data exploration because of the multitude of highly ...
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Prediction of ferric iron precipitation in bioleaching process using partial least squares and artificial neural network
... on partial least squares (PLS) and artificial neural network (ANN) was developed for the prediction of ferric iron precipitation in bioleaching ...
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Estimation of physical properties of kraft paper by near infrared spectroscopy an partial least squares regression.
... ESTIMATION OF PHYSICAL PROPERTIES OF KRAFT PAPER BY NEAR INFRARED SPECTROSCOPY AN PARTIAL LEAST SQUARES REGRESSION. The main objective of the present work is represented by the characterization of ...
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Partial least squares for face hashing
... not least, the computational cost to evaluate the hash functions can be reduced when considering feature selection methods, which consists in calculating the PLS regression response using few dimensions in the ...
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J. Braz. Chem. Soc. vol.25 número9
... and partial least squares for discriminant analysis (PLS-DA) were developed to classify the samples according to their dilution (below and above 15% m/m) and chemical form (cocaine hydrochloride or ...
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J. Braz. Chem. Soc. vol.24 número3
... discriminant partial least-squares models (partial least-squares discriminant analysis, PLS-DA) were developed for classifying the samples according to dilution (above and below ...
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J. Braz. Chem. Soc. vol.24 número10
... Spectrophotometry is a relatively easy method for simultaneous determination of variety components. It needs less expensive instrumentation and provides high sensitivity. One of the main drawbacks of the ...
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Composition Determination of Rubber Blends by Applying Differential Scanning Calorimetry and SPA-PLS Treatment
... the partial least squares (PLS) regression and the leave- one-out cross-validation (LOOCV) method have been applied as multivariate methods to generate the regression model that relates the DSC ...
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Pharmacometabolomic approach to predict QT prolongation in guinea pigs.
... Drug-induced torsades de pointes (TdP), a life-threatening arrhythmia associated with prolongation of the QT interval, has been a significant reason for withdrawal of several medicines from the market. Prolongation of ...
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The Use of Partial Least Squares Path Modeling in Investigating the Relationship between Leadership, Motivation and Rewarding
... Bu çalışmanın amacı sosyal bilimler alanında yapılan çalışmalarda sıkça kullanılan, yol analizi ve doğrulayıcı faktör analizi gibi çok değişkenli istatistiksel yöntemler arasında ortak [r] ...
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COMPARING THE ARTIFICIAL NEURAL NETWORK WITH PARCIAL LEAST SQUARES FOR PREDICTION OF SOIL ORGANIC CARBON AND pH AT DIFFERENT MOISTURE CONTENT LEVELS USING VISIBLE AND NEAR-INFRARED SPECTROSCOPY
... pH. Partial least squares (PLS) and the Artificial neural network (ANN) for modeling of SOC and pH at different MC levels were compared in terms of efficiency in prediction of ...
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Monitoring Thaumastocoris peregrinus (Hemiptera: Thaumastocoridae) in Eucalyptus plantations with remote sensing / Monitoramento de Thaumastocoris peregrinus (Hemiptera: Thaumastocoridae) em plantios de Eucalyptus com sensoriamento remoto
... The partial least squares discriminant analysis (PLS-DA), a special case of regression by partial least squares (PLSR) for categorical variables (Pérez-Enciso and Tenenhaus 2003) ...
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