statistics
多重共线性
MulticollinearityA statistical phenomenon in which two or more predictor variables in a multiple regression model are highly correlated, meaning one can be linearly predicted from the others with a substantial degree of accuracy. / 统计学中的一种现象，指多元回归模型中的两个或多个预测变量高度相关，意味着可以相当准确地从一个变量线性预测另一个变量。
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-23 11:00:52
Sub-knowledge points
Spectral multicollinearityExtreme multicollinearityHigh-dimensional NIR spectroscopy
Higher-order knowledge points
Calibration robustnessSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
Main parameters and performance indicators
correlation coefficient: measure of linear relationship strengthvariance inflation factor (VIF): quantifies severity of multicollinearity
Open problems
Robust calibration under extreme multicollinearitySystematic evaluation of high-dimensional spectral data
Related literature
ranked by community starsUnderstanding calibration robustness under extreme spectral multicollinearity: A systematic evaluation of high-dimensional NIR spectroscopyOpen source
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1 recordsRecord title: Multicollinearity.
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