Collinearity Detection in a Multiple Linear Regression Model
Condition Number
Condition Number with and without intercept
Coeficient of Variation
Coeficients of Variation
Stewart's index
Unit length data
Collinearity detection in a linear regression model
Collinearity detection in a multiple linear regression model.
All detection measures
Perturbation and estimation in a multiple linear model
Perturbation
Proportions
Correlation matrix and it's determinat
Simple linear regression model and multicollinearity
Variance Inflation Factor
The detection of worrying approximate collinearity in a multiple linear regression model is a problem addressed in all existing statistical packages. However, we have detected deficits regarding to the incorrect treatment of qualitative independent variables and the role of the intercept of the model. The objective of this package is to correct these deficits. In this package will be available detection and treatment techniques traditionally used as the recently developed.