Russett {cSEM} | R Documentation |

## Data: Russett

### Description

A data frame containing 10 variables with 47 observations.

### Usage

Russett

### Format

A data frame containing the following variables for 47 countries:

`gini`

The Gini index of concentration

`farm`

The percentage of landholders who collectively occupy
one-half of all the agricultural land (starting with the farmers
with the smallest plots of land and working toward the largest)

`rent`

The percentage of the total number of farms that rent all
their land. Transformation: ln (x + 1)

`gnpr`

The 1955 gross national product per capita in U.S. dollars.
Transformation: ln (x)

`labo`

The percentage of the labor force employed in agriculture.
Transformation: ln (x)

`inst`

Instability of personnel based on the term of office of the
chief executive. Transformation: exp (x - 16.3)

`ecks`

The total number of politically motivated violent incidents,
from plots to protracted guerrilla warfare. Transformation: ln (x + 1)

`deat`

The number of people killed as a result of internal group
violence per 1,000,000 people. Transformation: ln (x + 1)

`stab`

One if the country has a stable democracy, and zero otherwise

`dict`

One if the country experiences a dictatorship, and zero otherwise

### Details

The dataset was initially compiled by Russett (1964),
discussed and reprinted by Gifi (1990),
and partially transformed by Tenenhaus and Tenenhaus (2011).
It is also used in Henseler (2020) for demonstration
purposes.

### Source

From: Henseler (2020)

### References

Gifi A (1990).
*Nonlinear multivariate analysis*.
Wiley.

Henseler J (2020).
*Composite-Based Structural Equation Modeling: An Introduction to Partial Least Squares & Co. Using ADANCO*.
Guilford Press.

Russett BM (1964).
“Inequality and Instability: The Relation of Land Tenure to Politics.”
*World Politics*, **16**(3), 442–454.
doi: 10.2307/2009581, https://doi.org/10.2307/2009581.

Tenenhaus A, Tenenhaus M (2011).
“Regularized generalized canonical correlation analysis.”
*Psychometrika*, **76**(2), 257–284.

### Examples

#============================================================================
# Example is taken from Henseler (2020)
#============================================================================
model_Russett="
# Composite model
AgrIneq <~ gini + farm + rent
IndDev <~ gnpr + labo
PolInst <~ inst + ecks + deat + stab + dict
# Structural model
PolInst ~ AgrIneq + IndDev
"
out <- csem(.data = Russett, .model = model_Russett,
.PLS_weight_scheme_inner = 'factorial',
.tolerance = 1e-06
)

[Package

*cSEM* version 0.4.0

Index]