ClustMeans              C++ Function for Cluster Means
LossMat                 C++ Function for Interaction Loss Function
bicomp                  Bilinear Decomposition of a Matrix
cl_class_ids.int.lsbclust
                        S3 Methods for Integration into 'clue'
                        Framework
cmat                    Centring Matrix
dcars                   Dutch Cars Data
genproc                 Generalized Procrustes Rotation
indarr                  Create Array of Indicator Matrices
int.lsbclust            Interaction Clustering in Least Squares
                        Bilinear Clustering
lov                     List-of-values Data Set
lsbclust                Least-squares Bilinear Clustering of Three-way
                        Data
lsbclust-package        Least Squares Latent Class Matrix Factorization
orc.lsbclust            K-means on the Overall Mean, Row Margins or
                        Column Margins
plot.bicomp             Plot a 'bicomp' Object
plot.col.kmeans         Plot method for class 'col.kmeans'
plot.int.lsbclust       Plot Method for Class 'int.lsbclust'
plot.lsbclust           Plot method for class 'lsbclust'
plot.ovl.kmeans         Plot method for class 'ovl.kmeans'
plot.row.kmeans         Plot method for class 'row.kmeans'
plot.step.lsbclust      Plot method for class 'step.lsbclust'
print.lsbclust          Print method for object of class 'lsbclust'
sim.lsbclust            Simulate from an LSBLCUST model
step.lsbclust           Model Search for lsbclust
summary.int.lsbclust    Summary Method for Class "int.lsbclust"
summary.lsbclust        Summary Method for Class "lsbclust"
supermarkets            Dutch Supermarkets Data Set
