sim5ydata: A Set of Simulated Data with Multiple Response Variables

In POCRE: Penalized Orthogonal-Components Regression

A Set of Simulated Data with Multiple Response Variables

Description

A simulated data set with 100 observations, each with five response variable and 1,000 covariates.

Usage

data("sim5ydata")

Format

A data frame with 100 observations on 1005 variables with the first five columns for the response variables, and the rest for the covariates.

Details

The 1,000 covariates are from 10 blocks of independent variables, with each block consisting 100 autoregressively correlated variables. There are a total of 12 covariates affecting the response variables: x_{50}, x_{51}, x_{150}, x_{153}, x_{250}, x_{256}, x_{350}, x_{359}, x_{450}, x_{467}, x_{550}, x_{583}.

Author(s)

Dabao Zhang, Zhongli Jiang, Zeyu Zhang, Department of Statistics, Purdue University

References

Zhang D, Lin Y, and Zhang M (2009). Penalized orthogonal-components regression for large p small n data. Electronic Journal of Statistics, 3: 781-796.

See Also

pocrescreen, pocrepath, pocre, cvpocre.

Examples

data(sim5ydata)

POCRE documentation built on March 18, 2022, 6:43 p.m.