"icr"(formula, data, weights, ..., subset, na.action, contrasts = NULL)
"icr"(x, y, ...)
"predict"(object, newdata, ...)
class ~ x1 + x2 + ...{}
formula
are
preferentially to be taken.NA
s
are found. The default action is for the procedure to fail. An alternative
is na.omit, which leads to rejection of cases with missing values on any
required variable. (NOTE: If given, this argument must be named.)x
values for examples.icr
as returned by icr
.fastICA
icr
, a list with elements , a list with elementsn.comp
to pass to
fastICA
.The function preProcess
to produce the ICA scores for the
original data and for newdata
.
fastICA
, preProcess
,
lm
data(BloodBrain)
icrFit <- icr(bbbDescr, logBBB, n.comp = 5)
icrFit
predict(icrFit, bbbDescr[1:5,])
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