📄 y_progest.hlp
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{smcl}
{p 0 4}
{help contents:Top}
> {help y_progmat:Programming & matrices}
> {help y_programming:Programming}
> {help y_subroutines:Subroutines}
{bind:> {bf:Estimation}}
{p_end}
{hline}
{title:Help and category listings}
{p 4 8 4}
{bf:{help ereturn:Posting estimation results}}{break}
how to return results from your estimation command
{p 4 8 4}
{bf:{help y_progml:Maximum-likelihood estimation}}{break}
how to maximize a likelihood in Stata
{p 4 8 4}
{bf:{help y_progestpred:Prediction}}{break}
allow {cmd:predict} to work after your estimation command
{p 4 8 4}
{bf:{help _robust:Robust variance estimates}}{break}
compute robust (linearization) variance estimator based on scores
and covariance matrix
{p 4 8 4}
{bf:{help _estimates:Temporarily preserving estimation results}}{break}
hold, unhold, list, or drop held estimation results (e() results)
{p 4 8 4}
{bf:{help y_progcoll:Collinearity}}{break}
remove collinear variables
{p 4 8 4}
{bf:{help makecns:Constrained estimation}}{break}
facilitates adding constraints to estimation commands
{p 4 8 4}
{bf:{help matrix_makecns:Constraint processing}}{break}
an older method of programing constrained estimation
{p 4 8 4}
{bf:{help mat_put_rr:Post test constraint matrix}}{break}
alternative to using the {cmd:accumulate} option of {help test}
{hline}
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