lm.fit.recursive {quantreg} | R Documentation |
Recursive Least Squares
Description
This function fits a linear model by recursive least squares. It is
a utility routine for the KhmaladzeTest
function of the quantile regression
package.
Usage
lm.fit.recursive(X, y, int=TRUE)
Arguments
X |
Design Matrix |
y |
Response Variable |
int |
if TRUE then append intercept to X |
Value
return p by n matrix of fitted parameters, where p. The ith column gives the solution up to "time" i.
Author(s)
R. Koenker
References
A. Harvey, (1993) Time Series Models, MIT
[Package quantreg version 5.98 Index]