wheat {Brq}R Documentation

Wheat Data

Description

This is a regression subsample data set consisting of 113 observations on 6 variables is taken from the national program for the development of wheat cultivation in Iraq - Qadisiyah governorate branch (2017). The complete data set was first analyzed by Hilali (2019). The outcome of interest in this dataset is the percentage increase in wheat yield per dunam (2500 square meters).

Usage

data("wheat")

Format

A data frame with 113 observations on the following 6 variables.

y

a numeric vector

U

a numeric vector

Qs

a numeric vector

H

a numeric vector

K

a numeric vector

ME

a numeric vector

References

Abbas, H. K. and Taher, R. J. (2019). Bayesian adaptive lasso tobit regression. Journal of Al-Qadisiyah for Computer Science and Mathematics, 110 (1). <doi:10.29304/jqcm.2019.11.1.471>


[Package Brq version 3.0 Index]