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Principal component regression

Known as: PCR (disambiguation) 
In statistics, principal component regression (PCR) is a regression analysis technique that is based on principal component analysis (PCA). Typically… 
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Related topics

Related topics

15 relations
Constrained optimizationCross-validation (statistics)Dimensionality reductionEarly stopping

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
Combination of activation functions in extreme learning machines for multivariate calibration
2011
2011
1 Principal Component Regression as a Countermeasure against Collinearity
There are different approaches to counteract the threat of multicollinearity in regression modeling, such as centered-score… 
2006
2006
Derived components regression using the BACON algorithm
2002
2002
Robust Principal Components Regression
We consider the multivariate linear regression model with p explanatory variables X and q ≥ 1 response variables Y. Moreover we… 
2001
2001
Kernel Principal Component Regression with EM Approach to Nonlinear Principal Components Extraction
In kernel based methods such as Support Vector Machines, Kernel PCA, Gaussian Processes or Regularization Networks the… 
2001
2001
Robust Principal Component Regression
In this note we introduce a method for robust principal component regression. Robust principal components are computed from the… 
1995
1995
Rapid and quantitative analysis of metabolites in fermentor broths using pyrolysis mass spectrometry with supervised learning: application to the screening of Penicillium chrysogenum fermentations…
1995
1995
The efficient cross-validation of principal components applied to principal component regression
The cross-validation of principal components is a problem that occurs in many applications of statistics. The naive approach of… 
Review
1986
Review
1986
Chemometric analysis of multisensor arrays
1982
1982
Applying Principal Components Regression Analysis to Time Series Demand Estimation
Demand functions for rice in Colombia and Venezuela, estimated by means of ordinary least square, were unsatisfactory because of… 
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