Variables selection for index models via correlation pursuit

Documentation for package ‘COP’ version 1.0

COP-package	This package is for selecting variables for index models using correlation pursuit.
backward.corp	Backward selection step in COP
chisq.in	This is the function to calculate the chi-square in statistics in COP
chisq.out	The function is used to calculate chisquare out statistics in COP
COP	This package is for selecting variables for index models using correlation pursuit.
cop	This function is for selecting variables for index models
forward.corp	Forward selection in COP
starting	starting is a function to select the first two important predictors to start with