mvr: PLS Regression.

In Fuzzy-Logix/AdapteR: Converts R syntax to SQL to provide fast analytics using in-database C++ library DB Lytix.

Description

mvr performs linear regression on FLTable objects.

Usage

mvr(formula, data = list(), ...)

Arguments

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

Details

The DB Lytix function called is FLPLSRegr. Performs PLS Regression and stores the results in predefined tables.

Value

mvr returns an object of class FLPLSRegr

See Also

mvr for R reference implementation.

Examples

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.

Fuzzy-Logix/AdapteR documentation built on May 6, 2019, 5:07 p.m.