Chemometrics


The &#145;Ethanol&#146; data contains a response of ethanol content in a solution with the FTIR spectrum signal data. 


datasets

The package fits large-scale (generalized) ridge regression for various distributions of response. The shrinkage parameters (lambdas) can be pre-specified or estimated using an internal update routine (fitting a heteroscedastic effects model, or HEM). It gives possibility to shrink any subset of parameters in the model. It has special computational advantage for the cases when the number of shrinkage parameters exceeds the number of observations. For example, the package is very useful for fitting large-scale omics data, such as high-throughput genotype data (genomics), gene expression data (transcriptomics), metabolomics data, etc.

Xia Shen

bigRR

Generalized Ridge Regression (with special advantage for p >> n
cases)

Chemometrics function

The &#145;Ethanol&#146; data set contains a response vector <code>ethanol</code> and a FTIR signal matrix <code>Z.FTIR</code>:
 <dl>
 <dt>ethanol</dt><dd>A vector of Ethanol content response.</dd> <dt>Z.FTIR</dt><dd>A matrix where each column corresponds to a wavenumber from the FTIR experiment.</dd> </dl> 

Chemometrics: An Ethanol data set with FTIR spectrum data

Description

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