lsi | R Documentation |
solve linear least square problem (min ||A%%x-b||)
with inequality constraints u%
%x>=co
lsi(a, b, u = NULL, co = NULL, rcond = 1e+10, mnorm = NULL, x0 = NULL)
a |
dense matrix A or its QR decomposition |
b |
right hand side vector. Rows containing NA are dropped. |
u |
dense matrix of inequality constraints |
co |
right hand side vector of inequality constraints |
rcond |
maximal condition number for determining rank deficient matrix |
mnorm |
dummy parameter |
x0 |
dummy parameter |
Method:
reduce the problem to ldp (min(xat*xa) => least distance programming)
solve ldp
change back to x
If b is all NA, then a vector of NA is returned.
mnrom, and x0 are dummy parameters which are here to make lsi() compatible with lsi_ln() argument list
solution vector whose attribute 'mes' may contain a message about possible numerical problems
lsi_ln, ldp, base::qr
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