powered by
Simulated data used in tensor predictor regression (TPR). The pattern of coefficient is a square.
data("square")
A list consisting of three components:
A \(32 \times 32 \times 200\) tensor
A \(1 \times 200\) matrix
A \(32\times 32 \times 1\) tensor with the square pattern
Two envelope basis: \(32 \times 2\) matrices
# NOT RUN { data("square") ## Coefficients coeff <- square$coefficients image(-coeff@data[, , 1], axes=TRUE, col = grey(seq(0, 1, length = 256))) title('Coefficient matrix') # }
Run the code above in your browser using DataLab