The vision of the research project is to find an energy optimal building configuration, suitable for specified requirements and restrictions. first step on this way create a measure compare configurations, faster than explicit energetic simulations. current study examines applicability multivariate linear regression support solution optimization problems. During study, models were created estim...

Nonlinear regression analysis holds significant popularity in mathematical, engineering, and social science domains. Disciplines like financial matters, biology, natural chemistry have broadly utilized nonlinear models (NLRMs). Cloned datasets their own importance such areas which provide the same fit of bivariate multivariate for actual datasets. This article presents a sequence cloned that gi...

We propose two variable selection methods in multivariate linear regression with high-dimensional covariates. The first method uses a multiple correlation coefficient to fast reduce the dimension of relevant predictors moderate or low level. second extends univariate forward Wang [(2009). Forward for ultra-high dimensional screening. Journal American Statistical Association, 104(488), 1512–1524...