Description Usage Format References Examples
This data frame is a toy example with a limited number of observations extracted from the data simdata
given in the plspm
package. These are simulated data organized in two clusters showing two different local regression models.
1 |
A data frame of simulated data with 40 observations on the following 14 variables.
mv1
first variable of the block Price Fairness (X_1)
mv2
second variable of the block Price Fairness (X_1)
mv3
third variable of the block Price Fairness (X_1)
mv4
fourth variable of the block Price Fairness (X_1)
mv5
fifth variable of the block Price Fairness (X_1)
mv6
first variable of the block Quality (X_2)
mv7
second variable of the block Quality (X_2)
mv8
third variable of the block Quality (X_2)
mv9
fourth variable of the block Quality (X_2)
mv10
fifth variable of the block Quality (X_2)
mv11
first variable of the block Customer Satisfaction (Y)
mv12
second variable of the block Customer Satisfaction (Y)
mv13
third variable of the block Customer Satisfaction (Y)
Esposito Vinzi, V., Ringle, C., Squillacciotti, S. and Trinchera, L. (2007) Capturing and treating unobserved heterogeneity by response based segmentation in PLS path modeling. A comparison of alternative methods by computational experiments. Working paper, ESSEC Business School.
1 2 3 4 | data(simdata.red)
simdata.red
Data.X <- simdata.red[c(1:15, 21:35), 1:10]
Data.Y <- simdata.red[c(1:15, 21:35), 11:13]
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