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Partial Least Squares regression (PLS)

SPECTROMETRIC DETERMINATION OF SOME HEAVY METALS IN COSMETIC PRODUCTS FOUND BY PRINCIPAL COMPONENT REGRESSION AND PARTIAL LEAST SQUARES METHODS

SPECTROMETRIC DETERMINATION OF SOME HEAVY METALS IN COSMETIC PRODUCTS FOUND BY PRINCIPAL COMPONENT REGRESSION AND PARTIAL LEAST SQUARES METHODS

... Lead, cadmium and copper, are metals that appear together in many real samples. Several techniques such as X-ray fluorescence [2], atomic fluorescence spectrometry [3], atomic absorption spectrometry [4] , etc. have ...

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Comparative qsar analysis of histone deacetylase 6 (hdac6) inhibitors as  anti cancer agents

Comparative qsar analysis of histone deacetylase 6 (hdac6) inhibitors as anti cancer agents

... Linear Regression (MLR), Principal Component Regression (PCR) besides Partial east Squares regression (PLS) methods, in addition to a 3D QSAR model which was developed using ...

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Partial Least Squares in Constructing Candidates Model Averaging Muhammad Arna Ramadhan, Bagus Sartono, Anang Kurnia

Partial Least Squares in Constructing Candidates Model Averaging Muhammad Arna Ramadhan, Bagus Sartono, Anang Kurnia

... in regression analysis when number of observations is smaller than number of explanatory variables (also known as high-dimensional ...proposed partial least squares model averaging (PLSMA) as ...

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Application of FTIR Spectrometry Using Multivariate Analysis For Prediction Fuel in Engine Oil

Application of FTIR Spectrometry Using Multivariate Analysis For Prediction Fuel in Engine Oil

... classical least squares (CLS), inverse least squares (ILS), principal component regression (PCR) and partial least squares (PLS) ...

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 SIMULTANEOUS SPECTROPHOTOMETRIC DETERMINATION OF RABEPRAZOLE SODIUM AND DOMPERIDONE MALEATE IN CAPSULES BY CHEMOMETRIC METHODS

 SIMULTANEOUS SPECTROPHOTOMETRIC DETERMINATION OF RABEPRAZOLE SODIUM AND DOMPERIDONE MALEATE IN CAPSULES BY CHEMOMETRIC METHODS

... by partial least-squares (PLS) and principal component regression (PCR) methods do not require any priori graphical treatment of the overlapping spectra of two drugs in the ...

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Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space

Kernel Partial Least Squares Regression in Reproducing Kernel Hilbert Space

... of regression coefficients. PLS, PCR and RR are designed to shrink the solution to the regression from the areas of the low data spread resulting in biased but lower variance ...world regression ...

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A Model Proposal for the Investigation of End Users' Satisfaction on the Usage of an E-Learning Platform

A Model Proposal for the Investigation of End Users' Satisfaction on the Usage of an E-Learning Platform

... using Partial Least Squares (PLS) regression, a second generation causal modeling statistical technique, and is aimed to provide a model that describes end users’ perception on the ...

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Predicting grain protein content in wheat using hyperspectral sensing of in-season crop canopies and partial least squares regression

Predicting grain protein content in wheat using hyperspectral sensing of in-season crop canopies and partial least squares regression

... Using partial least squares (PLS) regression, we investigated if the raw reflectance spectra, transformed data, and spectral vegetation indices (SVIs) could adequately predict grain ...

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Evaluation of multiple variate selection methods from a biological perspective: a nutrigenomics case study

Evaluation of multiple variate selection methods from a biological perspective: a nutrigenomics case study

... multivariate regression methods used were: partial least squares ‘‘PLS’’; a genetic algorithm- based multiple linear regression, ‘‘GA-MLR’’; two least- angle shrinkage ...

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Rapid Analysis of Soil Copper Content for the Pearl River Delta Based on Near Infrared Spectroscopy Combined with SG PLS

Rapid Analysis of Soil Copper Content for the Pearl River Delta Based on Near Infrared Spectroscopy Combined with SG PLS

... Partial least squares (PLS) regression could integrate screened variables and eliminate colinearity of ...with PLS parameters is expected to further improve prediction effect of ...

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... linear regression (MLR), partial least squares combined with genetic algorithm for variable selection (GA- PLS), factor analysis–MLR (FA-MLR), principal component regression ...

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Using Multiple Calibration Sets to Improve the Quantitative Accuracy of Partial Least Squares (PLS) Regression on Open-Path Fourier Transform Infrared (OP/FT-IR) Spectra of Ammonia over Wide Concentration Ranges

Using Multiple Calibration Sets to Improve the Quantitative Accuracy of Partial Least Squares (PLS) Regression on Open-Path Fourier Transform Infrared (OP/FT-IR) Spectra of Ammonia over Wide Concentration Ranges

... The results revealed a clear improvement when using multiple calibration sets in the PLS regression because this strategy effectively reduces the effect of nonlinearity between measured absorbance and ...

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Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions

Key issues on Partial Least Squares (PLS) in operations management research: A guide to submissions

... 2008). Assigning the weight to the indicators of an emergent construct can be done in several ways, ranging from fixed weights (the unit or another value) to weights being estimated by some statistics procedure ...

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Comparison of Different Regularized and Shrinkage Regression Methods to Predict Daily Tropospheric Ozone Concentration in the Grand Casablanca Area

Comparison of Different Regularized and Shrinkage Regression Methods to Predict Daily Tropospheric Ozone Concentration in the Grand Casablanca Area

... Linear Regression (MLR) that circumvent the problem of multicollinearity which is likely to lead to unstable ...regularized regression me- thods: Principal Components Regression [14], Partial ...

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Design, optimization, and validation of chemometrics-assisted spectrophotometric methods for simultaneous determination of etodolac and thiocolchicoside in pharmaceuticals

Design, optimization, and validation of chemometrics-assisted spectrophotometric methods for simultaneous determination of etodolac and thiocolchicoside in pharmaceuticals

... calibration partial least squares (PLS), principal component regression (PCR), and inverse least squares (ILS) was developed for the simultaneous analysis of ET and TC ...

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A Comparison Study of Ridge Regression and Principle Component Regression with Application

A Comparison Study of Ridge Regression and Principle Component Regression with Application

... ridge regression (RR), principle component regression (PCR), and Latent Root LR ...the regression coefficients by ridge regression (RR) and principle component regression ...the ...

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Some aspects of progeny testing Southdown rams : a thesis presented in part fulfilment of the requirements for the degree of Master of Agricultural Science in Massey University of Manawatu, New Zealand

Some aspects of progeny testing Southdown rams : a thesis presented in part fulfilment of the requirements for the degree of Master of Agricultural Science in Massey University of Manawatu, New Zealand

... Least squares means, least squares deviations of sire groups from the means, least squares differences due to birthrank and sex, and partial regression coefficients for the characteristi[r] ...

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Particle swarm optimized partial least square support vector regression model for tax revenue prediction

Particle swarm optimized partial least square support vector regression model for tax revenue prediction

... Now we use the idea of cross validation to optimize the PSO-PLS-SVR model in order to find a more reasonable set of parameter ( C , σ 2 ), so the model’s error is smaller. Common CV methods is to make the whole ...

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Predicting bruise susceptibility in apples using Vis/SWNIR technique combined with ensemble learning

Predicting bruise susceptibility in apples using Vis/SWNIR technique combined with ensemble learning

... i.e. partial least squares model (PLS), partial least squares model combined with successful projection algorithm (SPA-PLS), and selective ensemble learning based ...

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Linkage abundance and molecular weight characteristics of technical lignins by attenuated total reflection FTIR spectroscopy combined with multivariate analysis

Linkage abundance and molecular weight characteristics of technical lignins by attenuated total reflection FTIR spectroscopy combined with multivariate analysis

... Data analysis: PCA and PLS modelling were performed using the PLS_Toolbox (Version 8.6, Eigenvector) within the MATLAB environ- ment (R2017a). Spectra were pre-processed using baseline correc- tion (automatic ...

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