sim.tensor.cov: Simulate data
In TULIP: A Toolbox for Linear Discriminant Analysis with Penalties

Simulate a data set with tensor predictor and covariates.

1	sim.tensor.cov(tesize = 100)

tesize

Number of observations in testing data.

The function simulates a data set with 10\times 10\times 10 tensor and covariate being a two-dimensional vector. Response are binary.

`x`	Simulated tensor predictor.
`z`	Simulated covariate.
`testx`	Simulated testing tensor predictor.
`testz`	Simualted testing covariate.
`vec_x`	Vectorization of `x`.
`vec_testx`	Vectorization of `testx`.
`y`	Response corresponding to `x` and `z`.
`testy`	Response corresponding to `testx` and `testz`.