randomInterceptsOrdered: randomInterceptsOrdered
In plssem: Complex Partial Least Squares Structural Equation Modeling
randomInterceptsOrdered R Documentation
randomInterceptsOrdered
Description
A simulated dataset.
Examples
syntax <- '
f =~ y1 + y2 + y3
f ~ x1 + x2 + x3 + w1 + w2 + (1 | cluster)
'
fit <- pls(syntax, data = randomInterceptsOrdered)
summary(fit)
plssem documentation built on March 23, 2026, 5:08 p.m.
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| randomInterceptsOrdered | R Documentation |
randomInterceptsOrdered
Description
A simulated dataset.
Examples
syntax <- '
f =~ y1 + y2 + y3
f ~ x1 + x2 + x3 + w1 + w2 + (1 | cluster)
'
fit <- pls(syntax, data = randomInterceptsOrdered)
summary(fit)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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