orthogonality_violation: Orthogonality constraint violation
In msPCA: Sparse Principal Component Analysis with Multiple Principal Components
orthogonality_violation R Documentation
Orthogonality constraint violation
Description
Computes the orthogonality constraint violation defined as the distance (infinity norm) between U^\top U and the identity matrix.
Usage
orthogonality_violation(U)
Arguments
U
A matrix. Each column correspond to an p-dimensional PC.
Value
A float.
Examples
library(datasets)
TestMat <- cor(datasets::mtcars)
mspcares <- mspca(TestMat, 2, c(4,4))
orthogonality_violation(mspcares$x_best)
msPCA documentation built on May 16, 2026, 1:08 a.m.
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| orthogonality_violation | R Documentation |
Orthogonality constraint violation
Description
Computes the orthogonality constraint violation defined as the distance (infinity norm) between U^\top U and the identity matrix.
Usage
orthogonality_violation(U)
Arguments
U |
A matrix. Each column correspond to an p-dimensional PC. |
Value
A float.
Examples
library(datasets)
TestMat <- cor(datasets::mtcars)
mspcares <- mspca(TestMat, 2, c(4,4))
orthogonality_violation(mspcares$x_best)
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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