Computes the sample partial autocorrelation function of a stationary time series.

Performs a pairs test.

Computes partial correlations or covariances from the covariance or correlation matrix.

Permutes the rows or columns of a matrix.

Rearranges the elements of an array as specified by a permutation.

Computes the periodogram of a stationary time series using a fast Fourier transform.

Sets or retrieves page width and length for printing.

Analyzes time event data via the proportional hazards model.

Prints a plot of up to ten sets of points.

Performs partial least squares regression for one or more response variables and a set of one or more predictor variables.

Evaluates the Poisson cumulative distribution function.

Estimates the parameter of the Poisson distribution.

Evaluates the Poisson probability density function.

Computes principal components from a variance‑covariance matrix or a correlation matrix.

Prints a probability plot.

Performs iterative proportional fitting of a contingency table using a loglinear model.