opls: OPLS 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

opls(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.
northo	Number of orthogonal vectors.

Details

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

Value

opls returns an object of class FLPLSRegr

Examples

deeptbl  <- FLTable("tblPLSDeep2y", "ObsID", "VarID", "Num_Val")
flmod<- opls(a~., data =deeptbl, ncomp = 5,northo = 5 )
cof <- coefficients(flmod)
pred <- predict(flmod);res <- residuals(flmod) 

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