lsq
(Package: SparseM) :
Least Squares Problems in Surveying
One of the four matrices from the least-squares solution of problems in surveying that were used by Michael Saunders and Chris Paige in the testing of LSQR
triogramX
(Package: SparseM) :
A Design Matrix for a Triogram Problem
This is a design matrix arising from a bivariate smoothing problem using penalized triogram fitting. It is used in the SparseM vignette to illustrate the use of the sparse matrix image function.
providing 
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