data_clean

<p>A dataset generated by the rotation of a bivariate normal density, the method
applied to get this dataset is described on Wentzell, P. D., and S. Hou.
"Exploratory data analysis with noisy measurements."
Journal of Chemometrics 26.6 (2012): 264-281.</p>

datasets

R implementation of Maximum Likelihood Principal Component Analysis
The main idea of this package is to have an alternative way of PCA for
subspace modeling that considers measurement errors.
More details can be found in Peter D. Wentzell (2009)
<doi:10.1016/B978-0-444-64165-6.03029-9>.

Renan Santos Barbosa

RMLPCA

Maximum Likelihood Principal Component Analysis

data_clean function

<p>A matrix with 300 rows and 20 columns</p>

data_clean: Error free data for all examples.

Description

Usage

Arguments

Format

References