Principal component regression
id:
principal-component-regression-245-15596965
title:
Principal component regression
text:
In statistics, principal component regression (PCR) is a regression analysis technique that is based on principal component analysis (PCA). More specifically, PCR is used for estimating the unknown regression coefficients in a standard linear regression model. In PCR, instead of regressing the dependent variable on the explanatory variables directly, the principal components of the explanatory variables are used as regressors. One typically uses only a subset of all the principal components for
brand slug:
wiki
category slug:
encyclopedia
description:
Statistical technique
original url:
https://en.wikipedia.org/wiki/Principal_component_regression
date created:
date modified:
2024-01-03T00:00:58Z
main entity:
{"identifier":"Q3455892","url":"https://www.wikidata.org/entity/Q3455892"}
image:
fields total:
13
integrity:
14