Understanding the collinearity problem in regression and discriminant analysis
By Tormod Næs, Bjørn-Helge Mevik. 2001
288 citations recorded by the source corpus.
Subfields: Analytical Chemistry, Control and Systems Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0acd27bf90db7f3ce837e2de8e480c94cffbdf16
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- C. Malegori
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Citations in the corpus
- In situ quality assessment of intact oil palm fresh fruit bunches using rapid portable non-contact and non-destructive approach (2014, unknown): “Since the samples in this research were less than the variables of VIS/NIR spectra data, it was not possible to directly establish the MLR mode (Naes and Mevik, 2001) due to collinearly.”
- Wavelength Selection with a View to a Simplified Handheld Optical System to Estimate Grape Ripeness (2014, background): “MLR is also well-suited when the number of variables is less than the number of samples and is not affected by collinearity (Næs and Mevik 2001).”