Description Usage Arguments Value Examples
View source: R/predict_pathmod.R
Once the formative-reflective model has been estimated with the pathmod()
function,
you can produce predictions based on old or new data.
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object |
an object of class |
newdata |
a data frame containing the x-variables of the model named as they had been
named in the |
xmean |
numeric vector of x-variable means. If no data and no |
ymean |
numeric vector of y-variable means. If no data and no |
xsd |
numeric vector of x-variable standard deviations. If no data and no |
ysd |
numeric vector of y-variable means. If no data and no |
... |
further arguments passed to or from other methods |
A list with slots:
xis
3-dimensional array with a matrix of ξ-variables for each value of α
etas
3-dimensional array with a matrix of η-variables for each value of α
xhats
3-dimensional array with a matrix of x-variable predictions for each value of α
yhats
3-dimensional array with a matrix of y-variable predictions for each value of α
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