A data frame containing 10 variables with 47 observations.
RussettA data frame containing the following variables for 47 countries:
giniThe Gini index of concentration
farmThe 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)
rentThe percentage of the total number of farms that rent all their land. Transformation: ln (x + 1)
gnprThe 1955 gross national product per capita in U.S. dollars. Transformation: ln (x)
laboThe percentage of the labor force employed in agriculture. Transformation: ln (x)
instInstability of personnel based on the term of office of the chief executive. Transformation: exp (x - 16.3)
ecksThe total number of politically motivated violent incidents, from plots to protracted guerrilla warfare. Transformation: ln (x + 1)
deatThe number of people killed as a result of internal group violence per 1,000,000 people. Transformation: ln (x + 1)
stabOne if the country has a stable democracy, and zero otherwise
dictOne if the country experiences a dictatorship, and zero otherwise
From: Henseler2021;textualcSEM
The dataset was initially compiled by Russett1964;textualcSEM, discussed and reprinted by Gifi1990;textualcSEM, and partially transformed by Tenenhaus2011;textualcSEM. It is also used in Henseler2021;textualcSEM for demonstration purposes.
#============================================================================
# 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
)