Prestige: Prestige Data
In mdhglm: Multivariate Double Hierarchical Generalized Linear Models

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

1	data("Prestige")

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)

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.

mdhglm documentation built on May 2, 2019, 5:52 a.m.