This a simple compressor based on aplib, yoda s Kernel code, and my own
stuffing around. It only has one function with MANY limitations at the moment,
but it is desinged for demo purposes only so it don t matter.
aPLib is a 32-bit compression library based on the compression algorithm
used in aPACK (my executable packer). aPLib is an easy-to-use alternative
to many of the heavy-weight compression libraries available.
The module LSQ is for unconstrained linear least-squares fitting. It is
based upon Applied Statistics algorithm AS 274 (see comments at the start
of the module). A planar-rotation algorithm is used to update the QR-
factorization. This makes it suitable for updating regressions as more
data become available. The module contains a test for singularities which
is simpler and quicker than calculating the singular-value decomposition.
An important feature of the algorithm is that it does not square the condition
number. The matrix X X is not formed. Hence it is suitable for ill-
conditioned problems, such as fitting polynomials.
By taking advantage of the MODULE facility, it has been possible to remove
many of the arguments to routines. Apart from the new function VARPRD,
and a back-substitution routine BKSUB2 which it calls, the routines behave
as in AS 274.
