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This function provides the actual versus predicted and actual versus residuals plot as part of a model assessment
ap.plot(object, ncomp = object$ncomp, verbose = FALSE)
The output of ap.plot is a two facet graph for actual versus predicted and residuals versus predicted plots.
ap.plot
an object of class mvdareg, i.e., plsFit.
mvdareg
plsFit
number of components used in the model assessment
output results as a data frame
Nelson Lee Afanador (nelson.afanador@mvdalab.com)
This function provides the actual versus predicted and residuals versus predicted plot as part of model a assessment across the desired number of latent variables. A smooth fit (dashed line) is added in order to detect curvature in the fit.
data(Penta) mod1 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1], ncomp = 2, validation = "loo") ap.plot(mod1, ncomp = 2)
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