.- help for ^rxrmaxl^ STB-28: sg45 .- Generalized ridge regression: shrinkage extent ---------------------------------------------- ^rxrmaxl^ depvar varlist [^if^ exp] [^in^ range] [^,^ ^m^steps^(^#^)^ ^omd^min^(^#^)^ ^q^shape^(^#^)^ ^r^escale^(^#^)^ ^t^ol^(^#^)^ ] To reset problem-size limits, see ^help matsize^. Description ----------- ^rxrmaxl^ calculates three normal-theory, maximum-likelihood criteria (classical, empirical Bayes, and random coefficients) for a choice of shrinkage extent in the ridge regression of ^depvar^ on ^varlist^. Options ------- ^msteps(^#^)^ specifies the number of steps per unit increase in ^MCAL^, the multi- collinearity allowance parameter; the default value is 4. The total number of steps along the generalized shrinkage path from the least squares solu- tion (^MCAL^=0) to all zero coefficients (^MCAL^=p) will thus be 1+(msteps*p). ^omdmin(^#^)^ is the strictly positive minimum value to be used for calculation of (1-delta) shrinkage factors. The default is 10e-13. ^qshape(^#^)^ controls the shape (or curvature) of the generalized shrinkage path through likelihood space; the default value is 0, which yields Hoerl- Kennard "ordinary" ridge regression. ^qshape^=1 yields uniform shrinkage, and all ^qshape^ values between -5 and 5 are allowed. ^rescale(^#^)^ controls the scaling of the response variable and all p predictor variables in the ^varlist^. The default value is ^rescale^=1 to scale all centered variables to have sample variance 1. ^rescale^=0 should be specified to retain the original scalings. ^tol(^#^)^ specifies search convergence criterion and defaults to 0.01. Example ------- . ^rxrmaxl mpg cylnds cubins hpower weight, q(-1)^ Author ------ Robert L. Obenchain Eli Lilly and Company Also see -------- STB: STB-28 sg45 On-line: ^help^ for @rxridge@ and @rxrcrlq@