collin.fnc: Calculate condition number with intercept included

In languageR: Analyzing Linguistic Data: A Practical Introduction to Statistics

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

kappa

Examples

	## Not run: 
     data(english)
     collin.fnc(english[english$AgeSubj=="young",], 7:29)$cnumber
  
## End(Not run)

Example output

[1] 132.0727
There were 24 warnings (use warnings() to see them)

languageR documentation built on May 2, 2019, 10:02 a.m.