Computes a fuzzy set for samples along a specified environmental or experimental gradient based on sample similarities and gradient values as weights. The fuzzy set memberships represent the degree to which a sample is similar to one end of the gradient while not similar to the other.
step.mfso
(Package: fso) :
Step-Wise Forward Variable Selection in a Multivariate Fuzzy Set Ordination
A simple routine to screen variables for addition to a multivariate fuzzy set ordination (MFSO). The routine operates by adding variables one at a time to an existing MFSO (which can be NULL), and calculating the correlation coefficient between the underlying dissimilarity matrix (object of class ‘dist’) and the pair-wise distances in the MFSO ordination.
mfso
(Package: fso) :
Multidimensional Fuzzy Set Ordination
A multidimensional extension of fuzzy set ordination (FSO) that constructs a multidimensional ordination by mapping samples from fuzzy topological space to Euclidean space for statistical analysis. MFSO can be used in exploratory or testing modes.
These functions establish several generic functions, and are not intended to be called directly. core.fso is the basic fuzzy set (axis) construction algorithm called by all other routines as necessary. The others establish plotting routines
providing 
.