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CCA grew out of a push to develop more reliable software faster. [1] Gartner describes CCA as “Embodying lean, agile and collaborative concepts core to DevOps initiatives, CCA tools bring a newly found level of precision, efficiency and flexibility to the challenges of infrastructure and application configuration management.” [4]
Community content is a key determinant of the quality of an open source CCA tool. As Gartner states, the value of CCA tools is "as dependent on user-community-contributed content and support as it is on the commercial maturity and performance of the automation tooling". [3] Established vendors such as Puppet and Chef have created their own ...
Community Choice Aggregation (CCA), also known as Community Choice Energy, municipal aggregation, governmental aggregation, electricity aggregation, and community aggregation, is an alternative to the investor-owned utility energy supply system in which local entities in the United States aggregate the buying power of individual customers within a defined jurisdiction in order to secure ...
CCA, a codon for the amino acid proline; Chromated copper arsenate, wood preservative; Circuit card assembly, ICP preferred term for an assembled circuit board; Climate change adaptation, process of adjusting to the effects of climate change; Cold cranking amperes, a measurement on a vehicle battery
[25] (i) While PLS-CCA aims at conforming reflective and formative measurement models, CCA aims at assessing composite models; (ii) PLS-CCA omits overall model fit assessment, which is a crucial step in CCA as well as SEM; (iii) PLS-CCA is strongly linked to PLS-PM, while for CCA PLS-PM can be employed as one estimator, but this is in no way ...
In statistics, canonical-correlation analysis (CCA), also called canonical variates analysis, is a way of inferring information from cross-covariance matrices.If we have two vectors X = (X 1, ..., X n) and Y = (Y 1, ..., Y m) of random variables, and there are correlations among the variables, then canonical-correlation analysis will find linear combinations of X and Y that have a maximum ...
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In multivariate analysis, canonical correspondence analysis (CCA) is an ordination technique that determines axes from the response data as a unimodal combination of measured predictors. CCA is commonly used in ecology in order to extract gradients that drive the composition of ecological communities.