Im calculating a Structural Equation model with Partial Least Squares (with R).
Lets say a simple example:
- two Response values (R1, R2) are combined to a latent variable RespLV = weight1*R1 + weight2*R2
- And a few covariates are also combined into latent variables (CoefLV1, CoefLV2, ...)
- All latent Variables are standardized to with mean=0 and variance=1
- Now a regression is performed with the result RespLV = beta1 * CoefLV1 + beta2 * CoefLV2 + ...
It is now possible to do a prediction on the standardized RespLV. Is there a possibility to to a prediction on the unstandardized RespLV?