Skip to main navigation
Skip to search
Skip to main content
University of Copenhagen Research Portal Home
Help & FAQ
Dansk
English
Home
Profiles
Research output
Research units
Press/Media
Activities
Prizes
???studenttheses???
Datasets
Search by expertise, name or affiliation
Recursive weighted partial least squares (rPLS): an efficient variable selection method using PLS
Åsmund Rinnan, Martin Andersson, Carsten Ridder,
Søren Balling Engelsen
Food Analytics and Biotechnology
50
Citations (Scopus)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'Recursive weighted partial least squares (rPLS): an efficient variable selection method using PLS'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Mathematics
Converge
6%
Human
9%
Interpretation
7%
Least Square Method
11%
Metabolomics
17%
Model
7%
Modeling
7%
Near-infrared Spectroscopy
18%
Nuclear Magnetic Resonance
16%
Output
8%
Partial Least Squares
100%
Partial Least Squares Regression
30%
Performance
6%
Protein
11%
Regression
25%
Regression Coefficient
11%
Regression Model
9%
Tuning
13%
Univariate
9%
Variable Selection
79%
Weighted Least Squares
87%
Weighting
22%
Chemical Compounds
Application
12%
Creatinine
46%
Metabolic
31%
NIR Spectroscopy
39%
NMR Spectrum
33%
Protein
15%
Weight
41%
Engineering & Materials Science
Metabolomics
39%
Near infrared spectroscopy
35%
Nuclear magnetic resonance
30%
Proteins
23%
Tuning
19%