PlantsIn the evolving field of cannabis research, scholars are exploring innovative methods to quantify cannabinoids rapidly and non-destructively. This study evaluates the effectiveness of a hand-held near-infrared (NIR) device for quantifying total ...
Hamza Rafiq +6 more
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New approaches in the chemometric analysis of infrared spectra of extra-virgin olive oils [PDF]
, 2014 The aim of this paper is to apply new chemometric approaches to obtain quantitative information from near and mid infrared spectra of Andalusian extra-virgin olive oils, using gas chromatography as a classical reference analytical technique.
Caridad, José Mª +5 more
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Partial least squares (PLS) regression and its application to coal analysis
Revista Técnica de la Facultad de IngenieríaLos métodos instrumentales de análisis químico hacen uso de las relaciones entre la señal obtenida y una propiedad del sistema estudiado (generalmente, una concentración).
Carlos E Alciaturi +3 more
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IMPLEMENTING PLS FOR DISTANCE-BASED REGRESSION: COMPUTATIONAL ISSUES [PDF]
Distance-based regression allows for a neat implementation of the Partial Least Squares recurrence. In this paper we address practical issues arising when dealing with moderately large datasets (n ~ 104) such as those typical of automobile insurance ...
Aurea Grane +3 more
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Multivariate NIR studies of seed-water interaction in Scots Pine Seeds (Pinus sylvestris L.) [PDF]
, 2003 This thesis describes seed-water interaction using near infrared (NIR) spectroscopy, multivariate regression models and Scots pine seeds. The presented research covers classification of seed viability, prediction of seed moisture content, selection of ...
Lestander, Torbjörn
core
Computing Frechet derivatives in partial least squares regression
Linear Algebra and its Applications, 2015 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire +3 more sources
Robust estimation of the vector autoregressive model by a trimmed least squares procedure. [PDF]
The vector autoregressive model is very popular for modeling multiple time series. Estimation of its parameters is done by a least squares procedure. However, this estimation method is unreliable when outliers are present in the data, and there is a need
Croux, Christophe, Joossens, Kristel
core
The corona blues according to daily life changes by COVID-19: A partial least squares regression model. [PDF]
Growth Change, 2022 Gim TT.
europepmc +1 more source
Moderating Effects of Management Control Systems and Innovation on Performance. Simple Methods for Correcting the Effects of Measurement Error for Interaction Effects in Small Samples [PDF]
In the accounting literature, interaction or moderating effects are usually assessed by means of OLS regression and summated rating scales are constructed to reduce measurement error bias. Structural equation models and two-stage least squares regression
Batista-Foguet, Joan M. +3 more
core
The Utilization of Partial Least Squares for Simultaneous Feature Selection and Extraction
Revstat Statistical JournalSeveral works concerning the utilization of Partial Least Squares as a supervised dimension reduction technique have been developed over the years in the field of chemometrics, among others, for regression purposes. However, Partial Least Squares can be
Elisavet Beki, Ntotsis Kimon
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