IDA {powerPLS}R Documentation

Iteration Deflation Algorithm

Description

Performs Iteration Deflation Algorithm

Usage

IDA(X, Y, W)

Arguments

X

Data matrix where columns represent the p variables and rows the n observations.

Y

Vector of class probabilities

W

Weight matrix where columns represent the A components and rows the X variables. Computed from computeWT.

Value

Returns a matrix of scores vectors Tscore.

Author(s)

Angela Andreella

References

Stocchero, M., & Paris, D. (2016). Post-transformation of PLS2 (ptPLS2) by orthogonal matrix: a new approach for generating predictive and orthogonal latent variables. Journal of Chemometrics, 30(5), 242-251.

See Also

PLSc, computeWT


[Package powerPLS version 0.2.0 Index]