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… (More)
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Topic mentions per year

Topic mentions per year

1979-2018
010020019792018

Papers overview

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2009
2009
In this paper, two simple principal component regression methods for estimating the optical flow between frames of video… (More)
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Highly Cited
2007
Highly Cited
2007
The pls package implements principal component regression (PCR) and partial least squares regression (PLSR) in R (R Development… (More)
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2007
2007
Forecasting with many predictors is of interest, for instance, in macroeconomics and finance. This paper compares two methods for… (More)
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2003
2003
The paper introduces all indices of multicollinearity diagnoses, the basic principle of principal component regression and… (More)
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Highly Cited
2003
Highly Cited
2003
I discuss Bayesian factor regression models and prediction with very many explanatory variables. Such problems arise in many… (More)
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2001
2001
In this note we introduce a method for robust principal component regression. Robust principal components are computed from the… (More)
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Highly Cited
2001
Highly Cited
2001
A family of regularized least squares regression models in a Reproducing Kernel Hilbert Space is extended by the kernel partial… (More)
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1999
1999
A key issue in mobile robot applications involves building a map of the environment to be used by the robot for localization and… (More)
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Highly Cited
1999
Highly Cited
1999
The goal of combining the predictions of multiple learned models is to form an improved estimator. A combining strategy must be… (More)
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1997
1997
Bootstrap methods can be used as an alternative for cross-validation in regression procedures such as principal component… (More)
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