regular_cca: Function to perform regular (low dimensional) canonical...
In ccar3: Canonical Correlation Analysis via Reduced Rank Regression
View source: R/alt_regular_CCA.R
regular_cca R Documentation
Function to perform regular (low dimensional) canonical correlation analysis (CCA
Description
Function to perform regular (low dimensional) canonical correlation analysis (CCA
Usage
regular_cca(X, Y, rank)
Arguments
X
Matrix of predictors (n x p)
Y
Matrix of responses (n x q)
rank
Number of canonical components to extract
Value
A list with elements:
- U
Canonical direction matrix for X (p x r)
- V
Canonical direction matrix for Y (q x r)
- cor
Canonical covariances
ccar3 documentation built on Sept. 16, 2025, 9:11 a.m.
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View source: R/alt_regular_CCA.R
| regular_cca | R Documentation |
Function to perform regular (low dimensional) canonical correlation analysis (CCA
Description
Function to perform regular (low dimensional) canonical correlation analysis (CCA
Usage
regular_cca(X, Y, rank)
Arguments
X |
Matrix of predictors (n x p) |
Y |
Matrix of responses (n x q) |
rank |
Number of canonical components to extract |
Value
A list with elements:
- U
Canonical direction matrix for X (p x r)
- V
Canonical direction matrix for Y (q x r)
- cor
Canonical covariances
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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