In high-dimensional settings where the number of variables approaches or exceeds the sample size, classical sample covariance matrices become unstable and singular. Covariance matrix estimation ...
The BLOCKS statement finds a design that maximizes the determinant |X'AX| of the treatment information matrix, where A depends on the block or covariate model. Alternatively, you can directly specify ...
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