Maximum-likelihood estimates can be constituted-of-or-filled-with (regression parameters).Logical formLearned from3 sentences. Regression can be for data.Logical formLearned from3 sentences. A (regression problem) can be infinite.Logical formLearned from3 sentences. Emphasis can be on (regression analysis).Logical formLearned from3 sentences. A regression can be constrained.Logical formLearned from3 sentences. A (regression model) may be used.Logical formLearned from3 sentences. A (regression problem) can be simple.Logical formLearned from3 sentences. A (regression analysis) can be ecological.Logical formLearned from3 sentences. A (regression technique) can be ecological.Logical formLearned from3 sentences. A tumour may undergo a regression.Logical formLearned from3 sentences. A synthesis may undergo a regression.Logical formLearned from3 sentences. (Regression techniques) can be simple.Logical formLearned from3 sentences. A (regression algorithm) can be linear.Logical formLearned from3 sentences. Multiple regression may undergo an extension.Logical formLearned from3 sentences. A linear (regression model) may undergo a development.Logical formLearned from3 sentences.