The caret Package - NexTag Supports Open Source Initiatives

38 plsda
Arguments
x
y
ncomp
a matrix or data frame of predictors
a factor or indicator matrix for the discrete outcome. If a matrix, the entries must
be either 0 or 1 and rows must add to one
the number of components to include in the model
... arguments to pass to plsr (codeplsda only)
object
newdata
type
an object produced by plsda
a matrix or data frame of predictors
either "class", "prob" or "raw" to produce the predicted class, class probabilities
or the raw model scores, respectively.
Details
If a factor is supplied, the appropriate indicator matrix is created by plsda.
A multivariate PLS model is fit to the indicator matrix using the plsr function.
To predict, the softmax function is used to normalize the model output into probability-like scores.
The class with the largest score is the assigned output class.
Value
For plsda, an object of class "plsda" and "mvr". The predict method produces either a vector,
matrix or three-dimensional array, depending on the values of type of ncomp. For example, specifying
more than one value of ncomp with type = "class" with produce a three dimensional
array but the default specification would produce a factor vector.
See Also
plsr
Examples
data(mdrr)
tmpX