"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.)
fastICA
x
values for examples.
icr
as returned by icr
.
icr
, a list with elements
lm
after the ICA transformationn.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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