Description Usage Arguments Details Value Author(s) See Also Examples
Fit a linear regression model using independent components
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formula |
A formula of the form |
data |
Data frame from which variables specified in |
weights |
(case) weights for each example – if missing defaults to 1. |
subset |
An index vector specifying the cases to be used in the training sample. (NOTE: If given, this argument must be named.) |
na.action |
A function to specify the action to be taken if |
contrasts |
a list of contrasts to be used for some or all of the factors appearing as variables in the model formula. |
... |
arguments passed to |
x |
matrix or data frame of |
y |
matrix or data frame of target values for examples. |
object |
an object of class |
newdata |
matrix or data frame of test examples. |
This produces a model analogous to Principal Components Regression (PCR) but uses Independent Component Analysis (ICA) to produce the scores. The user must specify a value of n.comp
to pass to fastICA
.
The function preProcess
to produce the ICA scores for the original data and for newdata
.
For icr
, a list with elements
model |
the results of |
ica |
pre-processing information |
n.comp |
number of ICA components |
names |
column names of the original data |
Max Kuhn
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