Prestige {mdhglm}

Prestige Data

Description

Fox, et al. (2016) considered an additive non-parametric regression model with the prestige data.

Usage

data("Prestige")

Format

A data frame with 102 observations on the following 6 variables.

education

average education of occupational incumbents, years, in 1971

income

average income of incumbents, dollars, in 1971

women

percentage of incumbents who are women

prestige

Pineo-Porter prestige score for occupation, from a social survey conducted in the mid- 1960s

census

Canadian Census occupational code

type

a factor for type of occupation with levels bc (Blue Collar), prof (Professional, Managerial and Technical) and wc (White Collar)

References

Fox, J., Weisberg, S., Adler, D., Bates, D., Baud-Bovy, G., Ellison, S., Firth, D., Friendly, M., Gorjanc, G., Graves, S., Heiberger, R., Monette, G., Murdoch, D., Nilsson, H., Ogle, D., Riply, B., Venables, W., Winsemius, D. and Zeileis, A. (2016). car: Companion to Applied Regression. R package version 2.1-2.