Principal Component Regression; PCR

Keyword Definition

In statistics, principal component regression (PCR) is a regression analysis technique that is based on principal component analysis (PCA).  In PCR, instead of regressing the dependent variable on the explanatory variables directly, the principal components of the explanatory variables are used as regressors.

Source: Wikipedia

Category: Statistical analysis

Keywords relating to statistical analysis – generally applied to publications describing the application of specialised statistical methodologies to the interpretation of geochemical data.

Date modified: