Description: This package computes the continuous wavelet transform of

Title: Multivariate Data Analysis Laboratory
Author: Nelson Lee Afanador, Thanh Tran, and Lionel Blanchet
Maintainer: Nelson Lee Afanador <nelson.afanador@mvdalab.com>
Description: Implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods and classical multivariate statistical tools.
Imports: car, dummies, ggplot2, MASS, moments, parallel, penalized,

Description: An open-source project implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools , and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users).   Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.

Author: Nelson Lee Afanador, Thanh Tran, Lionel Blanchet, and Richard Baumgartner
Description: An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools , and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users).   Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.

Description: An open-source implementation of latent variable methods and multivariate modeling tools. The focus is on exploratory analyses using dimensionality reduction methods including low dimensional embedding, classical multivariate statistical tools, and tools for enhanced interpretation of machine learning methods (i.e. intelligible models to provide important information for end-users).   Target domains include extension to dedicated applications e.g. for manufacturing process modeling, spectroscopic analyses, and data mining.