Handbook of Partial Least Squares
By Vincenzo Esposito Vinzi, Wynne W. Chin, Jörg Henseler, Huiwen Wang. 2010
1,545 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Applied Mathematics, Control and Systems Engineering
View Paper: https://www.semanticscholar.org/paper/7e3659dc61b6855385ebdf128c9a8ec90c7b6728
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
- Marko Sarstedt
- Jörg Henseler
- Nick Hajli
- Lobel Trong Thuy Tran
- Theo K. Dijkstra
- Sergio Cubero
- Mikko Rönkkö
- John Antonakis
In Applied Mathematics
- Nick Hajli
- Michael G. B. Blum
- Lobel Trong Thuy Tran
- Theo K. Dijkstra
- Dennis Prangle
- Marko Sarstedt
- Scott Anthony Sisson
- Jörg Henseler
In Control and Systems Engineering
- Marko Sarstedt
- Theo K. Dijkstra
- Nick Hajli
- Lobel Trong Thuy Tran
- John Antonakis
- Scott Anthony Sisson
- Dennis Prangle
- Jörg Henseler
Citations in the corpus
- A comparative review of dimension reduction methods in approximate Bayesian computation (2012, methodology): “Partial least squares regression seeks the orthogonal linear combinations of the explanatory variables which have high variance and high correlation with the response variable (e.g. Boulesteix and Strimmer 2007; Vinzi et al. 2010; Abdi and Williams 2010).”
- Salesperson ambidexterity and customer satisfaction: examining the role of customer demandingness, adaptive selling, and role conflict (2017, background): “All AVE values exceeded the .50 cutoff, thus satisfying convergent validity (Fornell and Larcker 1981; Vinzi et al. 2010).”