Results 61 to 70 of about 5,862,641 (174)
Journal of Saudi Chemical Society, 2011 The Quantitative structure–activity relationship (QSAR) analyses were carried out for a series of imidazolinones as nonpeptide angiotensin II receptor antagonists to find out the structural requirements of their antihypertensive activities. Partial Least
Mukesh C. Sharma +3 more
doaj +1 more source
Partial Least Squares Regression for Determining Factors Controlling Winter Wheat Yield
, 2018 Wheat (Triticum aestivum L.) yield is influenced by many independent factors including precipitation, fertilization, soil nutrients, and crop variety.
Wang, Zhe +6 more
core +1 more source
Local Regularization Assisted Orthogonal Least Squares Regression
, 2006 A locally regularized orthogonal least squares (LROLS) algorithm is proposed for constructing parsimonious or sparse regression models that generalize well.
Chen, S.
core +1 more source
PEMODELAN JUMLAH UANG BEREDAR MENGGUNAKAN PARTIAL LEAST SQUARES REGRESSION (PLSR) DENGAN ALGORITMA NIPALS (NONLINEAR ITERATIVE PARTIAL LEAST SQUARES) [PDF]
, 2015 Money supply has a tendency to increase or decrease the price level. Because of it, it is important to do a restraint and control action on money supply through its affecting factors include net foreign assets, net claims on central government, claims on
IKADIANTI, RIANA
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The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Water scarcity is a major threat to crop production and quality. Improving drought tolerance through variety selection requires a deeper understanding of plant ecophysiological responses, but large‐scale phenotyping remains a bottleneck. This study assessed the potential of high‐throughput tools (spectroscopy and poro‐fluorometry) to predict ...
Eva Coindre +13 more
wiley +1 more source
The pls Package: Principal Component and Partial Least Squares Regression in R [PDF]
The pls package implements principal component regression (PCR) and partial least squares regression (PLSR) in R (R Development Core Team 2006b), and is freely available from the Comprehensive R Archive Network (CRAN), licensed under the GNU General ...
Björn-Helge Mevik, Ron Wehrens
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Orthogonal-least-squares regression: A unified approach for data modelling
, 2008 A unified approach is proposed for data modelling that includes supervised regression and classification applications as well as unsupervised probability density function estimation. The orthogonal-least-squares regression based on the leave-one-out test
Harris, C. J. +13 more
core +1 more source
HorticulturaeThis study provides a method for the rapid, non-destructive testing of the internal quality of Korla fragrant pears. The dielectric constant (ε′) and dielectric loss factor (ε″) of pear samples were tested at 100 frequency points (range = 0.1–26.5 GHz ...
Yurong Tang +5 more
doaj +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash +9 more
wiley +1 more source
A robust partial least squares method with applications [PDF]
Partial least squares regression (PLS) is a linear regression technique developed to relate many regressors to one or several response variables. Robust methods are introduced to reduce or remove the effect of outlying data points.
Javier Gonzalez +2 more
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