B2P: Function to Compute an Orthogonal Projection Matrix Based on...
In LDRTools: Tools for Linear Dimension Reduction
B2P R Documentation
Function to Compute an Orthogonal Projection Matrix Based on an Arbitrary Matrix
Description
Function to compute an orthogonal projection matrix based on an arbitrary matrix.
Usage
B2P(x)
Arguments
x
A matrix with p rows and k columns.
Details
The orthogonal projection matrix P corresponding to matrix x is defined as P=x(x^{T}x)^{-1}x^{T}.
Value
The resulting orthogonal projection matrix.
Author(s)
Klaus Nordhausen
See Also
O2P
Examples
set.seed(1)
X <- matrix(rnorm(30),ncol=3)
P <- B2P(X)
LDRTools documentation built on Sept. 18, 2023, 1:06 a.m.
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| B2P | R Documentation |
Function to Compute an Orthogonal Projection Matrix Based on an Arbitrary Matrix
Description
Function to compute an orthogonal projection matrix based on an arbitrary matrix.
Usage
B2P(x)
Arguments
x |
A matrix with p rows and k columns. |
Details
The orthogonal projection matrix P corresponding to matrix x is defined as P=x(x^{T}x)^{-1}x^{T}.
Value
The resulting orthogonal projection matrix.
Author(s)
Klaus Nordhausen
See Also
O2P
Examples
set.seed(1)
X <- matrix(rnorm(30),ncol=3)
P <- B2P(X)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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