Plotting function for Significant Multivariate Correlation

Description

This function generates a plot an object of class smc.

Usage

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## S3 method for class 'smc'
plot(x, variables = "all", ...)

Arguments

x

smc object.

variables

the number of variables to include the graph output.

...

additional arguments. Currently ignored.

Details

plot.smc is used to generates the graph of the significant multivariate correlation from smc objects.

Value

The output of plot.smc is a graph of the significant multivariate correlation for the specified observation(s).

Author(s)

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

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)
smc(mod1)
plot(smc(mod1))

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