A twist to partial least squares regression

By Ulf Geir Indahl. 2005

92 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Food Science

View Paper: https://www.semanticscholar.org/paper/ab1720a1f6268e33772ca682b19a2e3c69391900

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. Solve Sæbø
2. Lars-Gustav Snipen
3. Kristian Hovde Liland
4. Tahir Mehmood
5. Da‐Wen Sun
6. Jun‐Hu Cheng
7. Serge Rudaz
8. Julien Boccard

In Biomedical Engineering

1. Solve Sæbø
2. Lars-Gustav Snipen
3. Kristian Hovde Liland
4. Tahir Mehmood
5. Da‐Wen Sun
6. Jun‐Hu Cheng
7. Serge Rudaz
8. Julien Boccard

In Food Science

1. Solve Sæbø
2. Lars-Gustav Snipen
3. Kristian Hovde Liland
4. Tahir Mehmood

Citations in the corpus

• A review of variable selection methods in Partial Least Squares Regression (2012, methodology): “To cope with this, a new data compression method for estimating optimal latent variables by combining PLS methodology introduced in [72] and generalized in [73] by canonical correlation analysis (CCA).”