fullqr: full rank QR decomposition.

In nlr: Nonlinear Regression Modelling using Robust Methods

Description

Is actual QR decomposition matrix, created for compatibility to nlr package functions.

Usage

fullqr(x)

Arguments

x	A Square matrix.

Details

Compute QR matrices, and provide explicit matrix form of lower triangular and upper triangular matrices.

Value

List of standard matrix form to be used in internal functions in nlr.

• qq matrix.

• rr matrix.

• q2q2 is from partition of Q=[q1|q2] matrix.

• r1 r1 is from partition of R=[R1/0] matrix.

• rinvis generalized inverse of r1.

• arQR decomposition result from qr function.

Note

Used mostly for internal purposes.

Author(s)

Hossein Riazoshams, Jan 2010. Email: [e-mail] URL http://www.riazoshams.com/nlr/

References

Riazoshams H, Midi H, and Ghilagaber G, 2018,. Robust Nonlinear Regression, with Application using R, Joh Wiley and Sons.

See Also

nlsqr

Examples

 a1=matrix(c(1,2,3,4,5,6,7,8,9),nrow=3)
 fullqr(a1)

nlr documentation built on July 31, 2019, 5:09 p.m.