Description Usage Arguments Details Value See Also Examples
mvr
performs linear regression on FLTable objects.
1 |
formula |
A symbolic description of model to be fitted |
data |
An object of class FLTable or FLTableMD. |
ncomp |
Number of components for performing pls & opls |
The DB Lytix function called is FLPLSRegr. Performs PLS Regression and stores the results in predefined tables.
mvr
returns an object of class FLPLSRegr
mvr
for R reference implementation.
1 2 3 4 5 6 7 8 9 | deeptbl <- FLTable(getTestTableName("tblPLSDeep2y"), "ObsID", "VarID", "Num_Val")
flmod<- mvr(a~., data =deeptbl, ncomp = 5 )
predict(flmod); residuals(flmod);plot(flmod)
cof <-coefficients(flmod)
Functions to perform partial least squares regression (PLSR),
canonical powered partial least squares (CPPLS) or principal
component regression (PCR), with a formula interface.
Cross-validation can be used. Prediction, model extraction, plot,
print and summary methods exist.
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