On this R-data statistics page, you will find information about the Ornstein data set which pertains to Interlocking Directorates Among Major Canadian Firms. The Ornstein data set is found in the car R package. You can load the Ornstein data set in R by issuing the following command at the console data("Ornstein"). This will load the data into a variable called Ornstein. If R says the Ornstein data set is not found, you can try installing the package by issuing this command install.packages("car") and then attempt to reload the data. If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the Ornstein R data set. The size of this file is about 4,683 bytes.
Interlocking Directorates Among Major Canadian Firms
Ornstein data frame has 248 rows and 4 columns. The observations are the 248 largest Canadian firms with publicly available information in the mid-1970s. The names of the firms were not available.
This data frame contains the following columns:
Assets in millions of dollars.
Industrial sector. A factor with levels:
AGR, agriculture, food, light industry;
FIN, other financial;
HLD, holding companies;
MAN, heavy manufacturing;
MIN, mining, metals, etc.;
WOD, wood and paper.
Nation of control. A factor with levels:
OTH, other foreign;
US, United States.
Number of interlocking director and executive positions shared with other major firms.
Ornstein, M. (1976) The boards and executives of the largest Canadian corporations. Canadian Journal of Sociology 1, 411–437.
Personal communication from M. Ornstein, Department of Sociology, York University.
Fox, J. (2008) Applied Regression Analysis and Generalized Linear Models, Second Edition. Sage.
Fox, J. and Weisberg, S. (2011) An R Companion to Applied Regression, Second Edition, Sage.
Dataset imported from https://www.r-project.org.