Actual versus Predicted Plot and Residuals versus Predicted

Description

This function provides the actual versus predicted and actual versus residuals plot as part of a model assessment

Usage

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ap.plot(object, ncomp = object$ncomp)

Arguments

object

an object of class mvdareg, i.e., plsFit.

ncomp

number of components used in the model assessment

Details

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.

Value

The output of ap.plot is a two facet graph for actual versus predicted and residuals versus predicted plots.

Author(s)

Nelson Lee Afanador (nelson.afanador@mvdalab.com)

See Also

plsFit

Examples

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data(Penta)
## Number of bootstraps set to 500 to demonstrate flexibility
## Use a minimum of 1000 (default) for results that support bootstraping
mod1 <- plsFit(log.RAI ~., scale = TRUE, data = Penta[, -1], 
               ncomp = 2, validation = "oob", boots = 500)
ap.plot(mod1, ncomp = 2)

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