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dml.bootstrap
  bootstrap bootstrapping to determine parameter relevance.
 
    DESCRIPTION
    Performs a bootstrap test on a dataset given a particular
    multivariate analysis. The stored results are the outputs of the
    model function.
 
    EXAMPLE
    m = dml.bootstrap('mva',{dml.standardizer dml.naive},'nboot',100)
    m = m.train(X,Y);
 
    DEVELOPER
    Marcel van Gerven (m.vangerven@donders.ru.nl)
Class Details
Sealed false
Construct on load false
Constructor Summary
bootstrap parse options 
Property Summary
mva multivariate analysis 
nboot number of permutations 
outcome bootstrap results 
verbose whether or not to generate diagnostic output 
Method Summary
  statistic return mean and standard error of the mean for all parameters in 
  train