GPArotation, ThreeWay, MASS, stats, graphics, Matrix
Analyzing regression data with many and/or highly collinear predictor variables, by simultaneously reducing the predictor variables to a limited number of components and regressing the criterion variables on these components (de Jong S. & Kiers H. A. L. (1992) <doi:10.1016/0169-7439(92)80100-I>). Several rotation and model selection options are provided.

Extract Sentences and Tables from PDFs with User Interface
person(given = "Erik", family = "Stricker", email = "erik.stricker@gmx.com",
role = c("aut", "cre"))
The PDE (Pdf Data Extractor) allows the extraction of
information and tables optionally based on search words from
PDF (Portable Document Format) files and enables the visualization
of the results, both by providing a convenient user-interface.

Extract Tables and Sentences from PDFs with User Interface

Jenny Farmer <jfarmer6@uncc.edu> and Donald Jacobs <djacobs1@uncc.ecu>
A nonparametric density estimator based on the maximum-entropy method.  Accurately predicts a probability density function (PDF) for random data using a novel iterative scoring function to determine the best fit without overfitting to the sample.

Farmer, J., D. Jacobs (2108) <DOI:10.1371/journal.pone.0196937>. A nonparametric density estimator based on the maximum-entropy method.  Accurately predicts a probability density function (PDF) for random data using a novel iterative scoring function to determine the best fit without overfitting to the sample.

Jenny Farmer <jfarmer@carolina.rr.com> and Donald Jacobs <djacobs1@uncc.ecu>
Farmer, J., D. Jacobs (2108) <DOI:10.1371/journal.pone.0196937>. A multivariate nonparametric density estimator based on the maximum-entropy method.  Accurately predicts a probability density function (PDF) for random data using a novel iterative scoring function to determine the best fit without overfitting to the sample.

Multivariate Nonparametric Probability Density Estimator

Measures real distances in pictures. With PDM() function, you can choose one '*.jpg' file, select the measure in mm of scale, starting and and finishing point in the graphical scale, the name of the measure, and starting and and finishing point of the measures. After, ask the user for a new measure.