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

Note that just a little Shrinkage of the RIGHT form (above) reduces
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.

**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
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freeware provides powerful, __Maximum Likelihood__ statistical inferences and
dynamic Xlisp-Stat graphical insights along the "Path" of your choice!