#' Define linear equality constraints for env. gradient
#'
#' @param Alpha the current estimate of the environmental gradient
#' @param alphaK a matrix with the environmental gradients
#' of the lower dimensions
#' @param d an integer, the number of environmental variables, including dummies
#' @param k an integer, the current dimension
#' @param centMat a centering matrix
#' @param ... further arguments for other methods, not needed in this one
#'
#' The centering matrix centMat ensures that the parameters of the dummies
#' of the same categorical variable sum to zero
#'
#' @return a vector of with current values of the constraints,
#' should evolve to zeroes only
heq_nb = function(Alpha, alphaK, d, k, centMat,
...) {
centerFactors = centMat %*% Alpha #Includes overal centering
size = sum(Alpha^2) - 1
if (k == 1) {
return(c(centerFactors, size))
}
ortho = crossprod(alphaK, Alpha)
c(centerFactors, size, ortho)
}
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