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.