The Coefficient TRACE display below shows how the p = 6 fitted regression
coefficients for the infamous Longley(1967) dataset change due to
shrinkage using the (new) **EFFICIENT** (p = 6-parameter) PATH through
Normal-theory Likelihood Space, Obenchain (2021-2022).

Note that just a little bit of Shrinkage of just the RIGHT FORM (above)
reduces the estimated RISK (below.) When drastic reductions in **Variability** are
combined with modest increases in **Squared Bias**, Overall Reductions
in **MSE Risk** result. Note the vertical dashed-gray-lines at **m = 0.86**
on Both Plots that mark the overall Optimal Shrinkage m-Extent.

**Information on Various GRR Topics...**

## Two-Parameter RESTRICTED Shrinkage...

## The MSE risk of Shrinkage...

## Influential Observations and Shrinkage in Xlisp-Stat

## Shrinkage Equations and MCAL

## GRR Reference List...

**softRX freeware** is proud to provide computer algorithms for R and several
other systems to guide you along your GRR Shrinkage "journey" Our
freeware provides powerful, __Maximum Likelihood__ statistical inferences and
dynamic Xlisp-Stat graphical insights along the "Path" of your choice!