Path modelling by sequential PLS regression

By Tormod Næs, Oliver Tomic, Bjørn-Helge Mevik, Harald Martens. 2011

97 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Food Science

View Paper: https://www.semanticscholar.org/paper/5826ce4b99214841be06b4b9af0a9549dbbc9213

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

1. Rasmus Bro
2. Tormod Næs
3. A. Biancolillo
4. Kristian Hovde Liland
5. I. Måge
6. Evrim Acar
7. C. Cordella
8. Bülent Yener

In Biomedical Engineering

1. Rasmus Bro
2. Tormod Næs
3. Kristian Hovde Liland

In Food Science

1. I. Måge
2. Rasmus Bro
3. A. Biancolillo
4. Kristian Hovde Liland
5. Tormod Næs
6. C. Cordella
7. David J. Biagioni

Citations in the corpus

• Variable selection in multi-block regression (2016, methodology): “Sequential and Orthogonalized Partial Least Squares (SO-PLS) [6,13] is a multi-block method that in the case of two blocks can be described as follows:”