diabetes: Diabetes data.

In FWDselect: Selecting Variables in Regression Models

Description

The diabetes data is a data frame with 11 variables and 442 measurements. These are the data used in the Efron et al. (2004) paper. The data has been standardized to have unit L2 norm in each column and zero mean.

Usage

diabetes

Format

diabetes is a data frame with 11 variables (columns). The first column of the data frame contains the response variable (diabetes$y) which is a quantitative measure of disease progression one year after baseline. The rest of the columns contain the measurements of the ten explanatory variables (age, sex, body mass index, average blood pressure and six blood serum registers) obtained from each of the 442 diabetes patients.

Source

The orginal data are available in the lars package, see http://cran.r-project.org/web/packages/lars/.

References

Efron, B., Hastie, T., Johnstone, I. and Tibshirani, R. (2004). Least angle regression (with discussion). Annals of Statistics, 32:407–499.

Examples

library(FWDselect)
data(diabetes)
head(diabetes)

FWDselect documentation built on May 2, 2019, 1:21 p.m.