PARTIAL LEAST SQUARES MODEL
Y is the yield data matrix with variety and environment effects removed;
t are
latent variables
or scores;
q are
loading vectors
.
We also have a matrix of explanatory variables (X) which may be associated with components of the Y matrix.
t are same latent variables as above
p are loading vectors.
Note : p and q describe how varieties and explanatory variables combine and t describes variation across environments.
Partial Least Squares Regression 27.2.96 Page : 5a of 16
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