# vif

From rms v5.1-3.1
by Frank E Harrell Jr

##### Variance Inflation Factors

Computes variance inflation factors from the covariance matrix of parameter estimates, using the method of Davis et al. (1986), which is based on the correlation matrix from the information matrix.

- Keywords
- models, regression

##### Usage

`vif(fit)`

##### Arguments

- fit
an object created by

`lrm`

,`ols`

,`psm`

,`cph`

,`Rq`

,`Glm`

,`glm`

##### Value

vector of vifs

##### References

Davis CE, Hyde JE, Bangdiwala SI, Nelson JJ: An example of dependencies among variables in a conditional logistic regression. In Modern Statistical Methods in Chronic Disease Epidemiology, Eds SH Moolgavkar and RL Prentice, pp. 140--147. New York: Wiley; 1986.

##### See Also

`rmsMisc`

(for `num.intercepts`

##### Examples

```
# NOT RUN {
set.seed(1)
x1 <- rnorm(100)
x2 <- x1+.1*rnorm(100)
y <- sample(0:1, 100, TRUE)
f <- lrm(y ~ x1 + x2)
vif(f)
# }
```

*Documentation reproduced from package rms, version 5.1-3.1, License: GPL (>= 2)*

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