orthnormal: Gram-Schmidt orthonormalization
In sSDR: Tools Developed for Structured Sufficient Dimension Reduction (sSDR)
Description
Usage
Arguments
Details
Value
Examples
Description
Gram-Schmidt orthonormalization
Usage
1
orthnormal(X)
Arguments
X
a n x p matrix of n observations and p predictors.
Details
This function orthonormalizes any n x p matrix.
Value
A n x p matrix of n observations and p predictors.
Examples
1
2
data <- gen.data(n=100)
x.orth <- orthnormal(data$X)
sSDR documentation built on May 1, 2019, 8:23 p.m.
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Description Usage Arguments Details Value Examples
Description
Gram-Schmidt orthonormalization
Usage
1 | orthnormal(X)
|
Arguments
X |
a n x p matrix of n observations and p predictors. |
Details
This function orthonormalizes any n x p matrix.
Value
A n x p matrix of n observations and p predictors.
Examples
1 2 | data <- gen.data(n=100)
x.orth <- orthnormal(data$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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