Component Models for Multi-Way Data
Tucker's Congruence Coefficient
Auxiliary for Controlling Multi-Way Constraints
Core Consistency Diagnostic
N-way Canonical Polyadic Decomposition
Extract Multi-Way Fitted Values
Fast Non-Negative Least Squares
Individual Differences Scaling
Khatri-Rao Product
Multiway Covariates Regression
Mean Square of Given Object
Moore-Penrose Pseudoinverse
Internal Multi-Way Functions
tools:::Rd_package_title("multiway")
Center n-th Dimension of Array
Scale n-th Dimension of Array
Parallel Factor Analysis-1
Parallel Factor Analysis-2
Print Multi-Way Model Results
Reorder Multi-Way Factors
Rescales Multi-Way Factors
Resigns Multi-Way Factors
Simultaneous Component Analysis
Symmetric Matrix Power
Sum-of-Squares of Given Object
Tucker Factor Analysis
Fits multi-way component models via alternating least squares algorithms with optional constraints. Fit models include N-way Canonical Polyadic Decomposition, Individual Differences Scaling, Multiway Covariates Regression, Parallel Factor Analysis (1 and 2), Simultaneous Component Analysis, and Tucker Factor Analysis.