Partial least-squares
new contributions to non linear process monitoring through kernel partial least squares
... In this work, a nonlinear version of the partial least squares (PLS) approach -called kernel PLS (KPLS)- is addressed. KPLS is a powerful statistical tool for obtaining multivariate nonlinear ...
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Analytical methodology to elemental quantification of weathered terrestrial analogues to meteorites using a portable Laser Induced Breakdown Spectroscopy (LIBS) instrument and Partial Least Squares (PLS) as multivariate calibration technique
... as partial least squares regression (PLS), principal component regression (PCR), multi-linear regression (MLR) or artificial neural networks (ANN) can be used ...general, partial least ...
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Discrimination of Annona muricata and Rollinia mucosa extracts by using multivariate curve resolution and partial least squares regression of liquid chromatography diode array data
... containing ethanol in the mixture extraction solvent. In this Figure, discrimination is observed between the Annona muricata samples in self-shaded (ASss) and sun-exposed (ASse) conditions collected during summer time. ...
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Simultaneous determination of pesticides in fruits by using second order fluorescence data resolved by unfolded partial least squares coupled to residual bilinearization
... unfolded partial least-squares (U-PLS) com- bined with residual bilinearizaton (RBL) for achieving the “second-order advantage” is the appropriate algorithm [42], always designing the calibration set ...
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Feasibility of the determination of polycyclic aromatic hydrocarbons in edible oils via unfolded partial least squares/residual bilinearization and parallel factor analysis of fluorescence excitation emission matrices
... The present work explores the possibility of applying the total fluorescence spectroscopy technique, combined with second-order multivariate calibration methods, for the simultaneous determination of seven heavy PAHs in ...
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A new IUPAC consistent approach to the limit of detection in partial least squares calibration
... ABSTRACT: There is currently no well-defined procedure for providing the limit of detection (LOD) in multivariate calibration. Defining an estimator for the LOD in this scenario has shown to be more complex than ...
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Avances en la aplicación de la espectroscopia NIR en la industria farmacéutica. Introducción a PAT y técnicas de imagen
... develop partial least squares (PLS1) calibration models in order to quantify the API in a pharmaceutical ...alternating least squares (MCR-ALS) algorithm to examine potential ...
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Authentication of retail cheeses based on fatty acid composition and multivariate data analysis
... The use of multivariate statistical analyses is a useful tool to discriminate dairy products based on their FA pro fi le (Vargas-Bello- Perez, Toro-Mujica, Enriquez-Hidalgo, Fellenberg, & G omez-Cort es, 2017). ...
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Value added in higher education ordinary least squares and quantile regression for a colombian case pdf
... We compare the results of two statistical models for the Saber Pro exam. The first model, multi-linear regression or ordinary least squares (OLS), produces an overall well fitted result but is highly ...
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Experimental and chemometric strategies for the development of Green Analytical Chemistry (GAC) spectroscopic methods for the determination of organic pollutants in natural waters
... alternating least-squares; CIP, ciprofloxacin; COW, correlation optimized warping alignment algorithm; DAI, daidzein; EDDP, 2- ethylidene-1,5-dimethyl-3,3-diphenylpyrrolidine; EEFMs, excitation-emission ...
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TítuloFinite volume solvers and moving least squares approximations for the compressible Navier Stokes equations on unstructured grids
... Moving Least-Squares (MLS) approximations for the development of high order upwind schemes on unstructured grids, applied to the numerical solution of the compressible Navier-Stokes ...
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Recursive Total Least Squares Method for Ultrasonic Doppler Frequency Estimation
... To improve the performances in such nonstationary environment, we propose a new recursive total least square regressive AR algorithm with variable forgetting factor (VFF-RTLS-AR). This method can estimate the ...
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Differential effects of local habitat and landscape characteristics on bird communities in Mediterranean afforestations motivated by the EU Common Agrarian Policy
... Figure 1. Relationship between (a) the species density per 0.8-ha census plot of tree plantations in the winter (top) and (b) the breeding season (down) and the multivariate gradient (first PLSR component) defined by the ...
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Electronic tongue technology applied to the analysis of grapes and wines
... Moreover, partial least squares (PLS-1) was capable of constructing regression models with good correlations between the data obtained with the bioET and the chemical parameters obtained by ...
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General two dimensional least squares image subtraction
... A very general two-dimensional solution to the image convolution problem is presented extending the least-squares approach of Bramich. Image convolution is of wide applicability in astronomical data ...
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