y:"vector": The time series to
be tested.model:"character": The model
to be used, i.e. intercept, trend or bothlag:"integer": The highest
number of lags to include in the test regression.teststat:"numeric": The t-statistic.cval:"vector": Critical values
at the 1%, 5% and 10% level of significance.bpoint:"integer": The
potential break point.tstats:"vector" The
t-statistics of the rolling regression.res:"vector" The residuals of
the test regression.test.name:"character" The name
of the test, i.e. `Zivot \& Andrews'.testreg:"ANY" The summary
output of the test regression.urca, directly.showMethods(classes="ur.za") at the R prompt for a
complete list of methods which are available for this class. Useful methods include
show:summary:plot:Download possible at: http://cowles.econ.yale.edu/, see rubric 'Discussion Papers (CFDPs)'.
ur.za and urca-class.