List,
I have a set of locations in three dimensional space. Each location has a
continously scaled attribute and I would like to shade or color the volume
between these locations using a simple smoother. At the moment, I am simply
using the cloud() function and coloring and sizing the points
List,
Is it possible to decompose the variance of an outcome into trend, signal and
noise components using a SAR model - analogous to what one would get with an
OLS model? This doesn't seem to be straight forward. With OLS, we decompose Y
into two non-overlapping components
Y = fit + error
R-
