summary.PimpTest: Summarizing PIMP-algorithm outcomes
In vita: Variable Importance Testing Approaches

summary method for class "PimpTest".

## S3 method for class 'PimpTest'
summary(object, pless=0.05,...)
## S3 method for class 'summary.PimpTest'
print(x, ...)

`object`	an object of class `PimpTest`, a result of a call to `PimpTest`.
`pless`	print only p-values less than pless. Default is `pless=0.05`.
`x`	an object of class `summary.PimpTest`, a result of a call to `summary.PimpTest`.
`...`	further arguments passed to or from other methods.

print.summary.PimpTest tries to be smart about formatting the VarImp, pvalue etc. and gives "significance stars".

`cmat`	a p x 3 matrix with columns for the `mean(PerVarImp)`,`sd(PerVarImp)` and the the p-values of the Kolmogorov-Smirnov Tests.
`cmat2`	a p x 2 matrix with columns for the original permutation variable importance values and corresponding p-value.
`para`	Shall the null distribution be modelled by a Gaussian distribution?
`pless`	p-values less than pless
`call`	the matched call to `PimpTest`.
`call.PIMP`	the matched call to `PIMP`.
`type`	one of regression, classification