subsets  R Documentation 
The regsubsets
function in the leaps package finds
optimal subsets of predictors based on some criterion statistic. This function plots a measure of fit against subset size.
subsets(object, ...) ## S3 method for class 'regsubsets' subsets(object, names=abbreviate(object$xnames, minlength = abbrev), abbrev=1, min.size=1, max.size=length(names), legend="interactive", statistic=c("bic", "cp", "adjr2", "rsq", "rss"), las=par('las'), cex.subsets=1, ...)
object 
a 
names 
a vector of (short) names for the predictors, excluding the
regression intercept, if one is present; if missing, these are
derived from the predictor names in 
abbrev 
minimum number of characters to use in abbreviating predictor names. 
min.size 
minimum size subset to plot; default is 
max.size 
maximum size subset to plot; default is number of predictors. 
legend 
If not 
statistic 
statistic to plot for each predictor subset; one of:

las 
if 
cex.subsets 
can be used to change the relative size of the characters used to
plot the regression subsets; default is 
... 
arguments to be passed down to

NULL
if the legend
is TRUE
; otherwise a data frame with the legend.
John Fox
Fox, J. (2016) Applied Regression Analysis and Generalized Linear Models, Third Edition. Sage.
Fox, J. and Weisberg, S. (2019) An R Companion to Applied Regression, Third Edition, Sage.
regsubsets
if (require(leaps)){ subsets(regsubsets(undercount ~ ., data=Ericksen), legend=c(3.5, 37)) }
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