Imputation using regularised Krzanowski method

A common problem in several disciplines is the missing information. When applying statistical methods to database with multivariate information, it is requires complete information, for instance, GGE models, additive main effects with multiplicative interaction models -AMMIand principal components, so, the value imputation is relevant for any area of knowledge. Krzanowski algorithm produce simple imputation of missing values, which has no structural or distributional assumptions, so that it can be used in any area of knowledge.