Concentration Residual Augmented Classical Least Squares (CRACLS): A Multivariate Calibration Method with Advantages over Partial Least Squares

By D. Melgaard, D. Haaland, C. Wehlburg. 2002

53 citations recorded by the source corpus.

Subfields: Analytical Chemistry, Biomedical Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/318f1e55d45a1485cd02bf6023ab4345716fd767

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. Boaz Nadler
2. Ronald R. Coifman
3. David J. Biagioni
4. Shira Kritchman

In Biomedical Engineering

1. Ronald R. Coifman
2. Boaz Nadler

In Industrial and Manufacturing Engineering

1. Ronald R. Coifman
2. Boaz Nadler

Citations in the corpus

• The prediction error in CLS and PLS: the importance of feature selection prior to multivariate calibration (2005, background): “Recently, however, modifications of the algorithm to include unmodeled interferences have been suggested [5,6], thus possibly extending its applicability.”