summary.prmda: Summary of a prmda model

In sprm: Sparse and Non-Sparse Partial Robust M Regression and Classification

Description

Summarizing models of class prmda.

Usage

## S3 method for class 'prmda'
summary(object, ...)
## S3 method for class 'prmda'
print(x, ...)

Arguments

object, x	object of class prmda
...	optional arguments for internal print function.

Value

summary prints model parameters and explained variances.

print prints model parameters.

Author(s)

Irene Hoffmann

References

Hoffmann, I., Filzmoser, P., Serneels, S., Varmuza, K., Sparse and robust PLS for binary classification.

See Also

prmda

Examples

data(iris)
data <- droplevels(subset(iris,iris$Species!="setosa"))
mod <- prmda(Species~.,data, a=2, class="lda")
mod
summary(mod)

sprm documentation built on May 2, 2019, 9:57 a.m.