\HeaderA{print.plus}{Print plus() steps when predictors are added or removed.}{print.plus}
\keyword{print}{print.plus}
\keyword{methods}{print.plus}
\begin{Description}\relax
Print plus steps when predictors are added or removed, beginning with a description of the method 
such as LASSO, MC+ or SCAD.
\end{Description}
\begin{Usage}
\begin{verbatim}
## S3 method for class 'plus':
print(x, print.moves = 20, ...)
\end{verbatim}
\end{Usage}
\begin{Arguments}
\begin{ldescription}
\item[\code{x}] a plus object
\item[\code{print.moves}] the number of lines printed. Default is 20.
\item[\code{...}] Additonal arguments for generic methods
\end{ldescription}
\end{Arguments}
\begin{Details}\relax
When a predictor is added or removed in the solution path, print one line providing the 
step number, the action, and the predicor involved.
\end{Details}
\begin{Value}
NULL
\end{Value}
\begin{Author}\relax
Cun-Hui Zhang and Ofer Melnik
\end{Author}
\begin{References}\relax
Zhang, C.-H. (2007). Penalized linear unbiased selection. Technical Report No. 2007-003. 
Department of Statistics, Rutgers University.
\end{References}
\begin{Examples}
\begin{ExampleCode}
data(sp500)
attach(sp500)

x <- sp500.percent[,3: (dim(sp500.percent)[2])] 
y <- sp500.percent[,1]

object <- plus(x,y,method="mc+")
print(object, print.moves=30)
detach(sp500)
\end{ExampleCode}
\end{Examples}

