analyze.variables       Analyze Variables Get information on the
                        relative importance of each variable included
                        in your formula.
comb.search             Explore given combinations of formula terms
cross.validate          Test a non-linear formula
dataset.min.maxs        Compute dataset column-wise statistics: min,
                        absmin, absmax, projzero
empty.sample            Return an empty data.frame with the columns
                        returned by 'random.search'
exaustive.search        Explore all combinations of formula terms
genetic.search          Genetic Algorithm for non-linear formula
                        optimization
monitor.formula.fun     Default formula to monitor genetic evolution
normalize               Normalize a dataset
normalize.test          Normalize a dataset with pre-defined column
                        mean and standard deviation
parse.vars              Parse text representation of a non-linear
                        formula term
pe.r.squared.formula.len.fitness
                        Default fitness function for 'genetic.search'
pred.vs.obs             Plot "predicted vs observed" using a given
                        formula
random.search           Random search for non-linear formula
                        optimization
regressors              Compute regressors of a given non-linear
                        formula
regressors.names        Compute all possible formula terms from a given
                        dataset
serialize.vars          Parse text representation of a non-linear
                        formula term
test.formula            Test a non-linear formula, get an aggregated
                        result.
transformations.names   Get transformed regressors names
