Dignity, Resilience, and Quality of Life in Patients With Cardiac Disease: A Partial Least Squares Structural Equation Modeling Approach. [PDF]
Huang CL, Hsu CH, Hsu SF, Tung HH.
europepmc +1 more source
Adaptive 4D‐Printed Vascular Stents With Low‐Temperature‐Activated and Intelligent Deployment
Microarchitected coronary artery stents were fabricated using a polycaprolactone (PCL)‐based shape memory polymer (SMP) composite via projection micro‐stereolithography (PµSL) 4D printing. By incorporating diethyl phthalate (DEP) as a plasticizer, the thermal transition temperature (Ttran) was modulated to about 37°C, enabling rapid and autonomous ...
Yannan Li +12 more
wiley +1 more source
3rd International Symposium on PLS (Partial Least Squares) and Related Methods (PLS'03) [PDF]
Joonsuk Lee
core
A fresh-cut papaya freshness prediction model based on partial least squares regression and support vector machine regression. [PDF]
Rong L +8 more
europepmc +1 more source
Effectiveness of public health spending: Investigating the moderating role of governance using partial least squares structural equation modelling (PLS-SEM). [PDF]
Kabongo WNS, Mbonigaba J.
europepmc +1 more source
Comparing the stability and reproducibility of brain-behavior relationships found using canonical correlation analysis and partial least squares within the ABCD sample. [PDF]
Nakua H +9 more
europepmc +1 more source
Fatty acid analysis in microalgal mono- and polycultures using diffuse reflectance infrared Fourier transform spectroscopy coupled with partial least squares analysis. [PDF]
Niemi C, Gentili FG.
europepmc +1 more source
In Situ Eutectic Formation in a Polymeric Matrix via Hot-Melt Reactive Extrusion and the Use of Partial Least Squares Regression Modeling for Reaction Yield Determination. [PDF]
Andrews GP, Culkin A, Jones DS, Li S.
europepmc +1 more source
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Traditional statistical tests are unable to handle a large number of variables. The simplest method to reduce large numbers of variables is the use of add-up scores. But add-up scores do not account for the relative importance of the separate variables, their interactions and differences in units.
Ton J. Cleophas, Aeilko H. Zwinderman
openaire +2 more sources
Boosting Partial Least Squares
Analytical Chemistry, 2005A difficulty when applying partial least squares (PLS) in multivariate calibration is that overfitting may occur. This study proposes a novel approach by combining PLS and boosting. The latter is said to be resistant to overfitting. The proposed method, called boosting PLS (BPLS), combines a set of shrunken PLS models, each with only one PLS component.
Zhang, Menghui +2 more
openaire +3 more sources

