Canonical partial least squares and continuum power regression

By S. D. Jong, B. Wise, N. Ricker. 2001

77 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/410fc99f10427fd07d8ecc3e320a3239ac78603b

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. Nicole Krämer
2. Roman Rosipal
3. Thierry Bouwmans
4. Shinichi Nakajima
5. Masashi Sugiyama
6. Liang Wang
7. Kaiye Wang
8. Tien-Ping Tan

In Food Science

1. Nicole Krämer
2. Roman Rosipal

In Statistics and Probability

1. Nicole Krämer
2. Roman Rosipal
3. Thierry Bouwmans
4. Masashi Sugiyama
5. Shinichi Nakajima
6. Liang Wang
7. Kaiye Wang
8. Tien-Ping Tan

Citations in the corpus

• Overview and Recent Advances in Partial Least Squares (2005, methodology): “PLS has been related to other regression methods like Principal Component Regression (PCR) [26] and Ridge Regression (RR) [16] and all these methods can be cast under a unifying approach called continuum regression [40, 9].”