collin.fnc {languageR} | R Documentation |
Calculate condition number with intercept included
Description
Calculates the condition number with the intercept included, following Belsley, Kuh and Welsch (1980).
Usage
collin.fnc(data, colvector)
Arguments
data |
A data frame. |
colvector |
A vector with the column numbers in the data frame for which the collinearity is to be assessed. Only numeric predictors allowed. |
Value
A list with components
svd |
Singular value decomposition |
cindex |
Condition indices |
cnumber |
The condition number |
pi |
The phi matrix |
Author(s)
F. J. Tweedie
References
Belsley, D. A. and Kuh, E. and Welsch, R. E. (1980) Regression Diagnostics. Identifying Influential Data and Sources of Collinearity, Wiley Series in Probability and Mathematical Statistics, New York.
See Also
Examples
## Not run:
data(english)
collin.fnc(english[english$AgeSubj=="young",], 7:29)$cnumber
## End(Not run)
[Package languageR version 1.5.0 Index]