consumption: Consumption Function Dataset
In VisCollin: Visualizing Collinearity Diagnostics

consumption

R Documentation

Consumption Function Dataset

Description

Example from pp 149-154 of Belsley (1991), Conditioning Diagnostics

Format

A data frame with 28 observations on the following 5 variables.

year: 1947 to 1974
cons: total consumption, 1958 dollars
rate: the interest rate (Moody's Aaa)
dpi: disposable income, 1958 dollars
d_dpi: annual change in disposable income

References

Belsley, D.A. (1991). Conditioning diagnostics, collinearity and weak data in regression. New York: John Wiley & Sons.

Examples

data(consumption)

ct1 <- with(consumption, c(NA,cons[-length(cons)]))
# compare (5.3)
m1 <- lm(cons ~ ct1 + dpi + rate + d_dpi, data = consumption)
anova(m1)

# compare exhibit 5.11
with(consumption, cor(cbind(ct1, dpi, rate, d_dpi), use="complete.obs"))
# compare exhibit 5.12
cd<-colldiag(m1)
cd
print(cd,fuzz=.3)

VisCollin documentation built on Sept. 8, 2023, 5:58 p.m.