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help for rvlrplot
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Plot residuals vs lagged residuals for time series data 

        rvlrplot [ , residualtype qualifier scatter_options plot(plot) ]


Description

    rvlrplot plots residuals from the last model versus lagged (i.e. lag 1)
    residuals. Data must have been tsset previously.

    By default, residuals are whatever predict, res produces after a model.
    The plot is restricted to the estimation sample.


Remarks

    The correlation between residuals and lagged residuals is calculated
    quietly. This may be retrieved by return list and then (say) used in a
    second pass giving the correlation on the graph.

    If the order of observations is meaningful, but data have not been tsset,
    this may be done by

        gen t = _n
        tsset t


Options

    residualtype specifies a type of residual other than the default.  The
        following types are currently supported: anscombe, deviance,
        likelihood, pearson, residuals, response, rstandard, rstudent, score,
        working.

    qualifier specifies one of standardized, studentized, modified, adjusted.

    scatter_options are options of twoway scatter.

    plot(plot) provides a way to add other plots to the generated graph; see 
        plot_option.


Examples

    . tsset time
    . regress whatever time
    . rvlrplot


Author

    Nicholas J. Cox, University of Durham, U.K.
    n.j.cox@durham.ac.uk


Also see

    On-line:  help for predict, scatter, tsset, modeldiag